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DMIN
2006
143views Data Mining» more  DMIN 2006»
15 years 5 months ago
Reverse Tree Clustering
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...
Casey Bartman, Jamal R. Alsabbagh
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 7 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
ICML
2010
IEEE
15 years 2 months ago
Mining Clustering Dimensions
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...
Sajib Dasgupta, Vincent Ng
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
15 years 9 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf