1595 search results - page 216 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
171
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BMCBI
2010
15 years 6 months ago
2010
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
140
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
181
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BMCBI
2006
15 years 6 months ago
2006
Background: After complete sequencing of a number of genomes the focus has now turned to proteomics. Advanced proteomics technologies such as two-hybrid assay, mass spectrometry e...
222
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APBC
2004
15 years 7 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
149
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SDM
2010
SIAM
15 years 7 months ago
2010
SIAM
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...