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» Techniques of Cluster Algorithms in Data Mining
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CIKM
2006
Springer
15 years 10 months ago
Mining blog stories using community-based and temporal clustering
In recent years, weblogs, or blogs for short, have become an important form of online content. The personal nature of blogs, online interactions between bloggers, and the temporal...
Arun Qamra, Belle L. Tseng, Edward Y. Chang
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
15 years 7 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 7 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
15 years 4 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan
BMCBI
2011
15 years 1 months ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso