452 search results - page 7 / 91 » On Weighting Clustering |
ICPR
2004
IEEE
16 years 23 days ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
116
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BMCBI
2008
14 years 11 months ago
2008
Background: At intermediate stages of genome assembly projects, when a number of contigs have been generated and their validity needs to be verified, it is desirable to align thes...
58
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ICML
2006
IEEE
16 years 14 days ago
2006
IEEE
110
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CSIE
2009
IEEE
15 years 6 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
103
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ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...