4526 search results - page 187 / 906 » An overview of clustering methods |
PAMI
2002
15 years 1 months ago
2002
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four ...
126
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PVLDB
2008
15 years 13 days ago
2008
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
121
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
130
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BMCBI
2008
15 years 2 months ago
2008
Background: A typical step in the analysis of gene expression data is the determination of clusters of genes that exhibit similar expression patterns. Researchers are confronted w...
106
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DATAMINE
2006
15 years 2 months ago
2006
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...