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» A Method for Dynamic Clustering of Data
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PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
15 years 6 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
ML
2002
ACM
128views Machine Learning» more  ML 2002»
14 years 11 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
CSDA
2007
99views more  CSDA 2007»
14 years 11 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
WEA
2004
Springer
107views Algorithms» more  WEA 2004»
15 years 5 months ago
An Algorithm to Identify Clusters of Solutions in Multimodal Optimisation
Clustering can be used to identify groups of similar solutions in Multimodal Optimisation. However, a poor clustering quality reduces the benefit of this application. The vast maj...
Pedro J. Ballester, Jonathan N. Carter
PR
2008
116views more  PR 2008»
14 years 11 months ago
Robust path-based spectral clustering
Spectral clustering and path-based clustering are two recently developed clustering approaches that have delivered impressive results in a number of challenging clustering tasks. ...
Hong Chang, Dit-Yan Yeung