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BMCBI
2008
134views more  BMCBI 2008»
15 years 2 months 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...
CVPR
1999
IEEE
16 years 4 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
INFOCOM
2003
IEEE
15 years 7 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...
CORR
1998
Springer
87views Education» more  CORR 1998»
15 years 1 months 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
ICDAR
2009
IEEE
14 years 11 months ago
Analysis of Book Documents' Table of Content Based on Clustering
Table of contents (TOC) recognition has attracted a great deal of attention in recent years. After reviewing the merits and drawbacks of the existing TOC recognition methods, we h...
Liangcai Gao, Zhi Tang, Xiaofan Lin, Xin Tao, Yimi...