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ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
16 years 1 months ago
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
Gunjan Gupta, Alexander Liu, Joydeep Ghosh
ECML
2003
Springer
16 years 14 days ago
Evaluation of Topographic Clustering and Its Kernelization
We consider the topographic clustering task and focus on the problem of its evaluation, which enables to perform model selection: topographic clustering algorithms, from the origin...
Marie-Jeanne Lesot, Florence d'Alché-Buc, G...
FSS
2002
99views more  FSS 2002»
15 years 7 months ago
Extreme physical information and objective function in fuzzy clustering
Fuzzy clustering algorithms have been widely studied and applied in a variety of areas. They become the major techniques7 in cluster analysis. In this paper, we focus on objective...
Michel Ménard, Michel Eboueya
ICPR
2008
IEEE
16 years 1 months ago
Multi-stage branch-and-bound for maximum variance disparity clustering
A split-and-merge framework based on a maximum variance criterion is proposed for disparity clustering. The proposed algorithm transforms low-level stereo disparity information to...
Ninad Thakoor, Venkat Devarajan, Jean Gao
IDA
2005
Springer
16 years 23 days ago
Biological Cluster Validity Indices Based on the Gene Ontology
With the invention of biotechnological high throughput methods like DNA microarrays and the analysis of the resulting huge amounts of biological data, clustering algorithms gain ne...
Nora Speer, Christian Spieth, Andreas Zell