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BMCBI
2008
134views more  BMCBI 2008»
15 years 28 days ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
78
Voted
CVPR
1999
IEEE
16 years 2 months ago
Stochastic Image Segmentation by Typical Cuts
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
Yoram Gdalyahu, Daphna Weinshall, Michael Werman
86
Voted
INFOCOM
2003
IEEE
15 years 6 months ago
Spectral Analysis of Internet Topologies
Abstract— We perform spectral analysis of the Internet topology at the AS level, by adapting the standard spectral filtering method of examining the eigenvectors corresponding t...
Christos Gkantsidis, Milena Mihail, Ellen W. Zegur...
111
Voted
COLING
2010
14 years 7 months ago
Multi-Sentence Compression: Finding Shortest Paths in Word Graphs
We consider the task of summarizing a cluster of related sentences with a short sentence which we call multi-sentence compression and present a simple approach based on shortest p...
Katja Filippova
110
Voted
CORR
1998
Springer
87views Education» more  CORR 1998»
15 years 14 days ago
Word Clustering and Disambiguation Based on Co-occurrence Data
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disa...
Hang Li, Naoki Abe