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115
Voted
ICDM
2003
IEEE
15 years 8 months ago
2003
IEEE
A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
137
Voted
SDM
2009
SIAM
16 years 20 days ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
146
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PAMI
2008
15 years 3 months ago
2008
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
147
Voted
CIKM
2006
Springer
15 years 7 months ago
2006
Springer
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
102
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...