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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. Sentencedict.com 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.