5595 search results - page 300 / 1119 » Approximation Algorithms for Clustering Problems |
190
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BMCBI
2008
15 years 6 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
166
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SDM
2004
SIAM
15 years 8 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
146
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WALCOM
2010
IEEE
16 years 1 months ago
2010
IEEE
We address a version of the set-cover problem where we do not know the sets initially (and hence referred to as covert) but we can query an element to find out which sets contain ...
192
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
Abstract. This paper addresses the problem of clustering images of objects seen from different viewpoints. That is, given an unlabelled set of images of n objects, we seek an unsup...
175
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ICANN
2009
Springer
15 years 11 months ago
2009
Springer
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...