5046 search results - page 20 / 1010 » Non-redundant data clustering |
268
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ICDE
2003
IEEE
16 years 7 months ago
2003
IEEE
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
161
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ICDM
2007
IEEE
16 years 9 days ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
161
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ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
174
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PAMI
2011
15 years 28 days ago
2011
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
219
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KDD
2012
ACM
13 years 8 months ago
2012
ACM
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...