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ACL
1993
13 years 11 months ago
Contextual Word Similarity and Estimation from Sparse Data
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...
Ido Dagan, Shaul Marcus, Shaul Markovitch
BMCBI
2005
113views more  BMCBI 2005»
13 years 10 months ago
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks
Background: Biological processes are carried out by coordinated modules of interacting molecules. As clustering methods demonstrate that genes with similar expression display incr...
Cecily J. Wolfe, Isaac S. Kohane, Atul J. Butte
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
13 years 11 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
BMCBI
2010
151views more  BMCBI 2010»
13 years 10 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
JMLR
2006
96views more  JMLR 2006»
13 years 10 months ago
Rearrangement Clustering: Pitfalls, Remedies, and Applications
Given a matrix of values in which the rows correspond to objects and the columns correspond to features of the objects, rearrangement clustering is the problem of rearranging the ...
Sharlee Climer, Weixiong Zhang