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158
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
159
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ICDM
2007
IEEE
16 years 25 days ago
2007
IEEE
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
154
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ICDM
2003
IEEE
15 years 11 months ago
2003
IEEE
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
170
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...
166
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BIBE
2004
IEEE
15 years 10 months ago
2004
IEEE
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...