4039 search results - page 96 / 808 » A Method for Dynamic Clustering of Data |
124
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DEXAW
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
166
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SDM
2009
SIAM
16 years 1 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...
144
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ACMSE
2010
ACM
15 years 2 months ago
2010
ACM
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
ISCA
2003
IEEE
15 years 9 months ago
2003
IEEE
Clustered microarchitectures are an attractive alternative to large monolithic superscalar designs due to their potential for higher clock rates in the face of increasingly wire-d...
156
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BMCBI
2004
15 years 4 months ago
2004
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...