5595 search results - page 11 / 1119 » Approximation Algorithms for Clustering Problems |
ICALP
2009
Springer
15 years 9 months ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
SODA
2008
ACM
14 years 11 months ago
2008
ACM
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
162
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
107
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SDM
2009
SIAM
15 years 6 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...
BIODATAMINING
2008
14 years 9 months ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...