543 search results - page 3 / 109 » An Experimental Comparison of Several Clustering and Initial... |
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PRIS
2004
15 years 29 days ago
2004
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
BMCBI
2004
14 years 11 months ago
2004
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
112
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ICAI
2004
15 years 1 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
99
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DAS
2008
Springer
15 years 1 months ago
2008
Springer
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
92
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EMMCVPR
2001
Springer
15 years 4 months ago
2001
Springer
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingly useful tool for exact or approximate energy minimization in low-level vision...