15494 search results - page 146 / 3099 » Computing dynamic clusters |
177
click to vote
SDM
2009
SIAM
16 years 2 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
146
click to vote
DAWAK
2007
Springer
15 years 11 months ago
2007
Springer
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
145
click to vote
ICDM
2005
IEEE
15 years 10 months ago
2005
IEEE
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
139
click to vote
PAKDD
2009
ACM
15 years 9 months ago
2009
ACM
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
157
Voted
NCI
2004
15 years 6 months ago
2004
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...