969 search results - page 25 / 194 » Expectation-MiniMax Approach to Clustering Analysis |
165
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JMLR
2010
14 years 8 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
101
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IBPRIA
2003
Springer
15 years 7 months ago
2003
Springer
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
119
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CIDM
2011
IEEE
14 years 5 months ago
2011
IEEE
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
WILF
2007
Springer
15 years 8 months ago
2007
Springer
Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact ...
112
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BMCBI
2006
15 years 1 months ago
2006
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...