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RECOMB
2005
Springer
16 years 4 months ago
Power Boosts for Cluster Tests
Abstract. Gene cluster significance tests that are based on the number of genes in a cluster in two genomes, and how compactly they are distributed, but not their order, may be mad...
David Sankoff, Lani Haque
ESANN
2007
15 years 5 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
JMIV
2002
74views more  JMIV 2002»
15 years 3 months ago
A Filter To Remove Gaussian Noise by Clustering the Gray Scale
An algorithm to suppress Gaussian noise is presented, based on clustering (grouping) gray levels. The histogram of a window sliding across the image is divided into clusters, and t...
Zakaria Atae-Allah, José-Martínez Ar...
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 8 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 5 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu