5603 search results - page 200 / 1121 » Feature Selection for Clustering |
171
Voted
ISAAC
2010
Springer
15 years 3 months ago
2010
Springer
We study the NP-complete TARGET SET SELECTION (TSS) problem occurring in social network analysis. Complementing results on its approximability and extending results for its restric...
159
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WG
2010
Springer
15 years 3 months ago
2010
Springer
Cluster Editing is a classical graph theoretic approach to tackle the problem of data set clustering: it consists of modifying a similarity graph into a disjoint union of cliques,...
165
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PRL
2010
14 years 11 months ago
2010
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
140
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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 ...
133
Voted
EVOW
2009
Springer
15 years 12 months ago
2009
Springer
Abstract. This paper proposes a new knowledge-based method for clustering metagenome short reads. The method incorporates biological knowledge in the clustering process, by means o...