5209 search results - page 129 / 1042 » Multiobjective Data Clustering |
137
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KDD
2005
ACM
16 years 5 months ago
2005
ACM
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
118
Voted
CIARP
2004
Springer
15 years 10 months ago
2004
Springer
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
136
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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...
161
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PAKDD
2000
ACM
15 years 8 months ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
112
Voted
CSREASAM
2007
15 years 6 months ago
2007
- The authors believe that providing security for supercomputer clusters is different from providing security for stand-alone PCs. The types of programs that supercomputer clusters...