1. He initiated far-reaching studies of the clustering of galaxies.

2. To avoid clustering of collisions, chaining was chosen as a collision resolution technique.

3. But clustering of the orbits of comets and asteroids is a demonstrated fact.

4. Clustering applications would include things like character recognition, sonar / radar signal classification, and robotic control.

5. OSF1 V2 will support symmetrical multi-processing and clustering, and is due for release between October 1993 and April 1994.

6. Hanging over parapets and out of windows, clustering in the streets and on the rooftops, the crowd whistled and applauded.

7. All that is required is a little local clustering, of a sort that will naturally tend to arise in natural populations.

8. Conceptual clustering involves more detailed analysis of relationships between traits.

9. Rebuilding is a corrective measure, required because the clustering process is flawed.

10. One virtue of clustering is that it can often invent disjunctive ones.

11. Is it by clustering together to elect one of their own in isolation?

12. The method used is based on collecting and clustering bigram statistics using a rank correlation metric.

13. Clustering of high fertility families, and geographical and social isolation of some estates,(http://) may be important too.

14. A second type of unsupervised learning is called clustering.

15. Research of K value optimization of spatial clustering.

16. Conclusion Cholera incidence appeared area clustering in Guangxi Province.

17. Fuzzy clustering is an important method in unsupervised classification.

18. Because these constructs are highly correlated they may also be encircled as a way of indicating this clustering.

19. The massive corrugated-iron sheds towered above the mean houses clustering round them.

20. The third is for companies to acquire software for profiling, cross-analysing and clustering the census variables against their own customer records.

21. Statistical studies of both the age distribution of impact craters and the times of biological extinctions have suggested that both show clustering.

22. These two levels of classification exhibit two quite different sorts of clustering.

23. The first level, which discovers general trends in the forms of wings and beaks, is a case of statistical clustering.

24. In this way, the children became spread out instead of all clustering together with the coins descending on them like hailstones.

25. Or instead there may be a major or dominant culture, with a series of sub-cultures clustering around it.

26. In muscles where motor neuron contact is delayed, gluR clustering at neuromuscular contact sites is similarly delayed.

27. Marie had stepped off the platform and into the salon and people were clustering round her, offering congratulations.

28. This research explores the discourses of class in terms of the meanings clustering around the ideas of work and of community.

29. Incidentally, there is nothing in the pro-gram that recognizes the existence of orbital families and clustering of impacts.

30. The programme has examined the extent to which different variables are sensitive to changes in the level of clustering.

31. Through the adjacency matrix, computing networks, clustering coefficient.

32. So the bad news is clustering thick and fast.

33. A new efficient index structure is presented for high - dimensional data space - Clustering Pyramid - tree.

34. Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.

35. The improved fuzzy C-means clustering algorithm has better robustness and makes the cluster results insensitive to the predefined cluster number.

36. A fuzzy classification system was presented by combining the multidimensional time series fuzzy clustering with rule extraction to evaluate the credit.

37. In practice, we can dispart hereinafter class : classification, clustering, regression, sequence, etc.

38. Here we use a method of clustering analysis based on the fuzzy equivalent relation.

39. This paper proposed a genetic clustering segmentation algorithm on entropy.

40. The visualization based on new measurements dynamically adjusts the data distribution on coordinate axis and quantificationally assesses the clustering assessment.

41. In addition, comparison with fuzzy Kohonen clustering networks ( FKCN ) also been made, based on IRIS data.

41. Wish you can benefit from our online sentence dictionary and make progress every day!

42. The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.

43. The fact of identifying 114 typical oil-gas reservoirs shows that the grey clustering procedure needs less original data.

44. A multi-level document clustering algorithm was proposed based on association rules, It constructed document feature vector of topic and keyword by using a new method of document feature extraction.

45. Fuzzy c - Mean ( FCM ) clustering algorithm is one of the widely appliedalgorithms in unsupervised model recognition fields.

46. The purpose of this paper is to give a topological view to the spatial clustering focusing on density based clustering with its variations.

47. Unfortunately for Java programmers, most clustering systems are built around C-based software messaging APIs such as Message Passing Interface (MPI) or Parallel Virtual Machine (PVM).

48. A zero - skew clock routing algorithm with fast clustering and performance improvement is proposed.

49. A prominent and useful class of algorithm is hierarchical agglomerative clustering(HAC)which iteratively agglomerates the closest pare until all data points belong to one cluster.

50. Results:After variate transformation by clustering, the data was more similar to normal distribution.

51. Mahout provides driver programs for all of the clustering algorithms, including the k-Means algorithm, aptly named the KMeansDriver.

52. First fuzzy clustering is applied compact initial TSK fuzzy model from the data for training.

53. By direction difference analysis and clustering analysis, the accumulating ability of citrus pulp, wild cabbage, hot pepper, French bean is very small in the 8 kinds of agricultural products.

54. Cosmic string formed due to phase transition in the early universe may be the cause of galaxy formation and clustering.

55. Emphasis is placed on a new model - Ionization Ionization Clustering Cluster model.

56. A Shannon s mutual information and fuzzy entropy clustering based oil analysis method was presented.

57. Experiments show that the automatic parameter setting in document clustering generates more satisfied clustering result and improves the clustering efficiency.

58. The selection of starting center points of clustering has great effects on the constringency speed of this clustering algorithms and the performance of clustering.

59. A concept of clustering coefficient of correlation factor and its meaning are put forward.

60. The running of dynamic clustering Wireless Sensor Network includes three phase, start-up, steady-going and dynamic reset.

61. Recently, a lot of authors have extended unweighted clustering coefficients to the weighted networks.

62. Many species cause pattern heterogeneity only by their growth form or their aggregation or shoot clustering.

63. The house looks very beautiful with roses clustering round the window.

64. CAIF, which is independent of data input order, can be used in incremental clustering.

65. This paper proposed a genetic clustering image segmentation algorithm on entropy.

66. Secondly, clustering automatically propagates cluster queue object definitions when their put attribute is altered.

67. An adaptive clustering algorithm, based on a combination of self-generating neural network(SGNN) with improved genetic algorithms(IGAs), is proposed for dermoscopy melanoma image in this paper.

68. Through the simulation research on clustering analysis of lithopone classification, the paper illustrates the wide practical value of this algorithm.

69. All the process of clustering based on the Euclidean distance among data vectors.

70. The outcome of clustering analysis basically fitted the patterns of zoogeographic division of China, except the region of North China, Gansu, Anhwei, Henan, and Yunnan provinces.

71. The associations clustering round a word can in fact change very rapidly.

72. Look at the other aspects like whether the solution is virtualized,(http:///clustering.html) and if the solution grid allows you to take advantage of clustering and workload balance.

73. To solve the problem, a method of minium distortion in clustering is proposed.

74. These elements define various clustering parameters controlling how the underlying WADI's components are wired and set-up upon application deployment.

75. The data sets have features such as high-dimensional, sparseness and binary value in many clustering applications.

76. This can easily be changed to a membership service that uses TCP or Unicast instead, without changing the rest of the clustering logic.

77. Simulation results show that the algorithm can achieve more stable clustering accuracy on the benchmark data sets.

78. The method of automatic abstracting based on text clustering was brought forward to overcome the shortages of the current methods of automatic abstracting.

79. This paper introduces an algorithm of spatial clustering. This algorithm can accomplish the clustering analysis of the spatial complex geography object.

80. Several new algorithms of fuzzy C-mean clustering with the combination of vector quantization are proposed for speaker identification.

81. Mahout contains implementations for clustering, categorization, CF, and evolutionary programming.

82. Experiment results show that this algorithm conquers the unsmoothed clustering and deals with clustering boundary well.

83. Video shots are detected using mutual information based method, candidate shot key fames are extracted by shots clustering; and then shot key fames are formed by candidate shot key fames compare.

84. In order to analyze the structure of a dataset simply and efficiently, this paper proposes a new clustering algorithm based on minimal spanning tree: MSTCA.

85. Empirical result shows that ARMA (1,1)-GARCH (1,1) model provide a successfully simulation by explaining strongly the volatility clustering, durative and leverage effects in enterprise bond markets.

86. Generally, this clustering diagram coincides with the distributing geography of the 13 chicken breeds. The paper also thinks that the red jungle-fowl is the matriarchic ancestor of Dulong chicken.

87. To emphasize the fuzzy relation among words, latent concepts, text and topics, an information theory based approach to latent concept extraction and text clustering is proposed.

88. A geometric structure representation of images based on the angle between spectral coefficient vectors of Laplacian graph was proposed. Graph clustering of spectral features was also investigated.

89. The thesis proposes a new document clustering method that uses a model named Document Index Graph to represent Chinese documents.

90. A new method based on clustering algorithm is presented to detect anchorperson shot in news video.

91. Central China; City; the Investment Climate; Factor Analysis; Clustering Analysis.

92. Methods: Used to identify the clusters which should be distinguished are commonly called " clustering procedures ".

93. Document clustering had been employed in information filtering, web page classification and so on.

94. And then a kind of grey cluster assessment method for surface-air missile weapon system is presented, which is based on grey fixed weight clustering and triangle whitenization weight function.

95. Clustering is an efficient method of data mining and text mining.

96. Through the practical application of DBSCAN algorithm, we validated the features of the algorithm, analysed and summarized the laws of spatial clustering results.

97. In the field of initialization of clustering for large data set, random sampling is used as an important reduction operation.

98. However, clustering is a difficult and combinatorial problem, and different request in different communities has made the transfer of useful generic concepts and methodologies slow to occur.

99. The support vector clustering(SVC)algorithm was introduced to detect linear modulation frequency(LFM) signal and estimate its parameter.

100. Then, the processes of computing the vector values of POI objects are discussed by the methods of questionnaire survey, multi-density spatial clustering and data normalization respectively.

101. The theory-based clusters related to research my SME industry clustering development strategy.

101. try its best to gather and create good sentences.

102. We also found that, the diameter, average path length and clustering coefficient have a regular change with different jumping probabilities chosen in our numerical experiments.

103. Traditional grid clustering methods fail to consider the affect of neighbored grids, and may result in unsmoothed clustering, wrong judgement of clustering boundary, etc.

104. Examples show that the method is effective on color image self-adapting clustering and segmentation.

105. MFCC uses intermediate clustering results in one type of feature space to help the selection in other types of feature spaces.

106. This paper proposed the algorithm for a document clustering based on similarity to overcome the drawbacks of ordinary information search.

107. This paper introduced algorithms for video segmentation and scene clustering.

108. The reasonableness of clustering result is belongs to cluster validity problem.

109. According to analysis and selection of finance indicators, the paper evaluates and predicts the quality of fiduciary loan risk by clustering methods.

110. To improve efficiency of density-based clustering algorithms and deal with the constrains of non-spatial attributes, a novel spatial clustering algorithm called GDRS is proposed.

111. However, existing semantic clustering approaches based on the taxonomy hierarchy take little account of load balancing problem among clusters, which inevitably compromise network performance.

112. A method of realization of automatic abstracting based on text clustering and natural language understanding is brought forward, aimed at overcoming shortages of some current methods.

113. Then use Fuzzy C-means to do document clustering based on the results of similarity calculation above.

114. Correction and validity can be improved by the feedback of clustering correlativity.

115. When clustering was introduced to WebSphere MQ, the retronym point-to-point network was used to differentiate between a cluster and the classic MQ network topology.

116. Gray clustering is a feasible method to assign these floristics to their suitable area, in which assorting vegetable and delineating the clustering objects by linear features are necessary.

117. Facing the fact that the Chinese training corpus for coreference resolution is heavily lacking, this paper presents a new unsupervised clustering algorithm for noun phrase coreference resolution.

118. Cluster validity index is used to evaluate the validity of clustering.

119. Finally, a numerical example shows the applicability of the FCM clustering algorithm.

120. The main research content includes the following four parts:(1) Aiming at the problems existing in MHS, stable multi-layer hierarchical structure (SMHS) and its clustering algorithm are proposed.

121. Particular attention is put on techniques for validating the optimal cluster number and the clustering quality.

122. Activation of lymphocytes and liver regeneration both involve perinuclear clustering of lysosmes.

123. The coding time is reduced greatly by using PCC clustering algorithm, taking advantage of nearest-neighbor correlation and threshold of matching error.

124. Therefore, the ultrasound medical image is discomposed to multiwavelet domain. Then its coefficients are shrunk by fuzzy clustering with semi-soft threshold for image de-noising.

125. The improved fuzzy clustering can blend the integral body with the structure identification and parameter identification of fuzzy model.

126. On the basis of PCA, the classification of areal is given by means of group-average method, nearest-neigbour method and furthest-neighbour method in system clustering and fuzzy graph theory method.

127. It is definitely reliable that taking advantage of gray clustering of forecasting theory to forecast the stability of side slope .

128. With the algorithms of video feature extraction, similarity measure and fast search based on clustering index table, a video similarity search system was implemented.

129. Using scanning electronic microscope, gas hole of flowerpots were studied and analyzed quantitatively and a technical terms, gas hole degree was put forword, on which clustering analysis was based.

130. The Guizhou Sheldrakes among tne famous Chinese duck breeds were identified using both hierarchical clustering methods and fuzzy classification methods.

131. This paper mainly studies the technology of data mining for compressed data, including association rule mining, classification and clustering algorithm.

131. is a sentence dictionary, on which you can find nice sentences for a large number of words.

132. After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.

133. This paper proposed an improved routing update algorithm — a dynamically self-adaptive routing update algorithm based on clustering mechanism.

134. Methods: Analyzing polymorphics of commercial medicinal materials "Qian-Hu" at different regions by RAPD technique and constructing a clustering tree diagram.

135. Customer classification is based on fuzzy clustering, and optimum cluster number could be known by its cluster validity.

136. Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non - parametric methods, unsupervised learning and clustering.

137. Testify the SAKM in tobacco commercial enterprise customer clustering , the result validate SAKM is in.

138. Analysed the concerned conceptions and non comprehensive evaluating reasons by the grey clustering analysis. Got the overall evaluating results in gas chromatography column seperation and evaluation.

139. According to the requirement of online public opinion analysis, this paper builds an online public opinion hotspot detection and analysis system based on document clustering.

140. Experiment results showed that the accuracy of this clustering algorithm was significantly higher than unweighted fuzzy C-means clustering algorithm.

141. Compared with then- pedigree, the clustering of heterotic groups is reasonable.

142. Apache Mahout has come a long way in just over a year, with significant capabilities for clustering, categorization, and CF, but it also has plenty of room for growth.

143. The application of Rough Set theory in designing clustering algorithm is discussed in the second section.

144. Gaussian Mixture Density and Decomposition ( GMDD ) is a hierarchical clustering method based on robust statistical theory.

145. It first introduces the concept of data clustering and data classification.

146. Over the past three years, parallel clustering has begun to change the face of supercomputing.

147. In the case of detection of hyperspherical-shaped objects, this clustering algorithm is much better than traditional algorithms.

148. Based on clustering FSVM and current injection method, a new method using two steps for single-phase grounding fault location of distribution feeders in networks with ungrounded neutral is proposed.

149. This paper has proposed and realized a kind of text clustering algorithm used for high dimensional sparse similar matrix.

150. The task of document clustering is both difficult and intensively studied.

151. The matched filter outputs consist of the signal space spanned by the users channel vector and the centers of the sets are extracted by clustering procedure.

152. The fitness of cluster model to data distribution is critical to probabilistic - model - based clustering.

153. This thesis proposes a document clustering method combining ontology and lexical chain clusters to compensate the disadvantage of only using lexical chain.

154. The effects of clustering the rows by their spatial properties rely on accessing just a subset of the data during query time.

155. Rows that have the same value in the clustering columns are physically stored together in the same storage cell.

156. Cluster retrieval method can produce classification of similar data through clustering, and data searching is processed based on this. It can effectively enhance the data retrieval efficiency.

157. As a result of clustering analysis and railway transport conditions, the transport network of express goods is designed, that contains 10 key nodes, 13 main nodes and 15 general nodes.

158. At first, ISODATA dynamic clustering is imported to median filtering algorithm. The algorithm can eliminate serious yawp noise and retain image detail.

159. Experimental results show that this algorithm is more effective in clustering than CLIQUE and SUBCLU.

160. Management capabilities, such as dynamic routing rules and clustering support, have been improved.

161. Avoid having any indexes on the table, if possible, but particularly not a clustering index.

161. is a sentence dictionary, on which you can find good sentences for a large number of words.

162. PowerHA is a clustering technology that provides both failover protection by having redundancy and horizontal scalability through concurrent/parallel access.

163. And Microsoft's Windows NT 5.0 will allow server clustering to be achieved more effectively.

164. This paper studies the relationship of the composition of reservoir, structure parameters and sensitivity applying by the method of system clustering procedure in mathematics.

165. So we can be considered the use of genetic algorithms to solve the problem of spatial clustering.

166. We find out that the relative importance has nothing to do with some basic statistical characteristics, such as volatility clustering, sharp peaks and fat tail distributions of stock yield.

167. Several main considered parameters are average link clustering, number of multiple paths, path complexity factor, and hop difference factor.

168. The paper selects 30 provinces and municipals in China as example; it builds an indicator system of resources endowment and deploys a clustering empirical analysis.

169. A new non-Euclidean distance was introduced to replace the Euclidean distance in the IPCM, and then a new fuzzy clustering, called novel improved possibilistic C-means(NIPCM)clustering was proposed.

170. But, in this aspect, many content work has been done, so the paper will choose a right clustering rule based on the work of them, in order to confirm cluster number directly under no assumptions.

171. Finally, you'll usually find a shared file system associated with clustering in an application server.

172. LEACH is a typical clustering algorithm, in which clustering nodes play the leading role.

173. In this paper, we analysis inherent characteristics of short-text, propose a new feature extraction method based on repeats, and apply it to short-text clustering.

174. In Grey Clustering, it puts forward a kind of Improved Grey Clustering method which combines Grey Relation Clustering with Grey Whitenization weight Function Clustering by Grey Relation Analysis.

175. Allowing too much free space, however, could cause extra pages to be read for queries and largely defeat the purpose of using a clustering index.

176. This paper presents a Random Projected Clustering algorithm(RanPC) for categorical data.

177. Besides, the suitableness application system clustering method to the classification of the pollen is discussed.

178. Our research shows that the complex network produced by our method has short average path length, high clustering coefficient, and some typical characters of a homogeneous network.

179. The clustering method combines the density and the hierarchical clustering methods.

180. Common alternatives include clustering index columns or other unique key columns.

181. Based on root tree and Maximal Weighted Independent Set, we propose the EACT(Energy-Aware Clustering Tree) algorithm and the maintenance and update algorithm of the cluster tree backbone network.

182. Introduced the concept of edge clustering coefficient (ECC) to community structure discovery of simple graph and proposed an algorithm of community discovery based on ECC.

183. Secondly, by analyzing the characteristic of ants system, we make ants connect the similar data. We advance an adaptive ant clustering algorithm based on digraph(A3CD) which is more direct and easier.

184. According to fuzzy clustering theory and fuzzy pattern recognition theory, a theory and model deciding forecast factor weight was present on basis of fuzzy object function in this paper.

185. The results of clustering analysis suggested that OCD and obsessive-compulsive personality disorder were closely linked.

186. This paper also develops a fuzzy competitive learning scheme for these new reference vector parameters, and applies the algorithm to the difficult task of clustering documents.

187. This paper introduces a text clustering method based on VSM ( vector space model ).

188. In this article we will apply clustering and outlier detection method on data of tax.

189. Clustering in AS5 supports buddy replication for SFSBs for improved scalability and passivation for clustered web sessions to control memory usage.

190. Shannon's mutual information and fuzzy entropy clustering based oil analysis method was presented.

191. This paper proposes a bidirectional hierarchical clustering algorithm of simultaneous clustering words of different categories.

191. Wish you will love and make progress everyday!

192. The spatial clustering analysis is a method of the spatial data mining. The spatial clustering analysis can directly find some useful clustering structure from spatial database.

193. Clustering analysis is important part of data mining. It is an unsupervised learning process and it doesn't need prior knowledge about data set.

194. This paper reconstructs the phase space based on stock yield sequence. We use WaveCluster method to mine temporal patterns by taking cumulative yield and density as clustering measure.

195. We explore the clustering characteristics on xanthous face, and point out that HSV color model can be well used to express the clustering characteristics of xanthous faces.

196. Clustering or segmentation of data is an important data mining application.

197. Application of fuzzy clustering analysis is investigated for the structure identification of fuzzy neural network.

198. It decreases clustering efficiency in evidence and results in hugeness dataset while centralize all the local data.

199. Traditional fuzzy text clustering methods mostly get the fuzzy equivalent matrix or fuzzy division by iterating the matrix of membership degree. Huge storage space is necessary for that process.

200. This clustering algorithm can deal with network intrusion detection from mass unlabeled data, distinguish between normal and abnormal data and detect unknown attacks.

201. If clustering text, you need to convert the text to a numeric representation.

202. After analyzing speedup and communication scheme theoretically parallel clustering algorithm , named PARCLE, is developed.

203. In the near future at clustering periodic time series data study up have more and more extensive trend.

204. This clustering makes each of us more productive, which in turn makes the place we inhabit even more so—and our collective creativity and economic wealth grow accordingly.

205. This paper formulates for solving the data clustering problem as a graph partition optimal problem, and proposes a parthenogenetic algorithm based on immune mechanism.

206. Aiming to some flaw, people bring forward to use Self-Organizing Feature Map on collecting data to make clustering and watching at first, and obtain principium information about some collection data.

207. This paper proposes CF - WFCM algorithm including feature weight learning algorithm and clustering algorithm.

208. The system applies conceptual clustering technology to recognize outliers, and uses plan recognition and causal network to predict and recognize the target.

209. With respect to multiple attribute clustering analysis problems with linguistic assessment information, a new maximal tree clustering analysis method is proposed.

210. Distance-based and density-based clustering algorithms in Euclidean space can be used in this framework.

211. With the results of clustering, a description way for branch state is given by the means of central tendency and data dispersion.

212. Propose a new agglomerative hierarchical clustering based method to eliminate outliers, with clustering tree to identify outliers.

213. Spatial Data Mining is a research branch of data mining, and the spatial clustering analysis is an important area of research of spatial data mining.

214. Based on the clustering method, the mixing matrix was first estimated by a new potential function using the sparseness of sources.

215. Fuzzy c-means clustering(FCM) algorithm works as an unsupervised classification method has been applied in object identification and image segmentation.

216. Clustering analysis is one of the important data mining techniques that can discover hidden modes by unsupervised learning and has the ability of acquiring knowledge independently.

217. According to the experience from engineering practices and reliability theory of building structures, clustering index, quantified criterion and clustering classes are confirmed.