25041 search results - page 38 / 5009 » Algorithms for Clustering Data |
ICDM
2003
IEEE
14 years 1 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...
SDM
2009
SIAM
14 years 5 months 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...
PAMI
2008
13 years 8 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...
CIKM
2006
Springer
13 years 11 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...
ICPR
2006
IEEE
14 years 9 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...