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» A New Measure of the Cluster Hypothesis
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BMCBI
2005
122views more  BMCBI 2005»
15 years 1 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
15 years 7 months ago
An Algorithm to Find Overlapping Community Structure in Networks
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
Steve Gregory
ICIAP
1999
ACM
15 years 5 months ago
Texture Segmentation by Frequency-Sensitive Elliptical Competitive Learning
In this paper a new learning algorithm is proposed with the purpose of texture segmentation. The algorithm is a competitive clustering scheme with two specific features: elliptic...
Steve De Backer, Paul Scheunders
TKDE
2008
111views more  TKDE 2008»
15 years 1 months ago
Text Clustering with Feature Selection by Using Statistical Data
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
Yanjun Li, Congnan Luo, Soon M. Chung
NOMS
2006
IEEE
105views Communications» more  NOMS 2006»
15 years 7 months ago
Adaptive Flow Aggregation - A New Solution for Robust Flow Monitoring under Security Attacks
— Flow-level traffic measurement is required for a wide range of applications including accounting, network planning and security management. A key design challenge is how to gr...
Yan Hu, Dah-Ming Chiu, John C. S. Lui