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BMCBI
2004
181views more  BMCBI 2004»
13 years 8 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
ICPR
2008
IEEE
14 years 3 months ago
A fuzzy c-means algorithm using a correlation metrics and gene ontology
A fuzzy c-means algorithm was adapted for analyzing microarray data. The adaptation consisted of initialization of fuzzy centroids using gene ontology information and the use of P...
Mingrui Zhang, Terry M. Therneau, Michael A. McKen...
CONEXT
2006
ACM
14 years 2 months ago
Inferring groups of correlated failures
We compare and evaluate different methods to infer groups of correlated failures. These methods try to group failure events occurring nearly simultaneously in clusters. Indeed if...
Jean Lepropre, Guy Leduc
VTC
2007
IEEE
130views Communications» more  VTC 2007»
14 years 2 months ago
Cross-Correlation Analysis of Generalized Distributed Antenna Systems with Cooperative Diversity
— In this paper, geometry-based channel models are proposed to describe the topology of generalized distributed antenna systems with cooperative diversity (GDAS-CD). The system a...
Yifan Chen, Chau Yuen, Yan Zhang, Zhenrong Zhang
DAGSTUHL
2007
13 years 10 months ago
Correlation-based Data Representation
The Dagstuhl Seminar Similarity-based Clustering and its Application to Medicine and Biology (07131) held in March 25–30, 2007, provided an excellent atmosphere for in-depth disc...
Marc Strickert, Udo Seiffert