5733 search results - page 292 / 1147 » Clustering Categorical Data |
193
Voted
HAIS
2010
Springer
15 years 7 months ago
2010
Springer
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
218
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JMLR
2006
15 years 7 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
169
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KES
2010
Springer
15 years 6 months ago
2010
Springer
Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
208
Voted
ICASSP
2011
IEEE
14 years 11 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...
230
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BMCBI
2008
15 years 7 months ago
2008
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...