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ICPR
2006
IEEE
14 years 9 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
14 years 2 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
BMCBI
2008
146views more  BMCBI 2008»
13 years 8 months ago
A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
SSPR
1998
Springer
14 years 26 days ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
14 years 2 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