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PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 6 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
81
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ICML
2005
IEEE
16 years 1 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 5 months ago
Evolution, development and learning using self-modifying cartesian genetic programming
Self-Modifying Cartesian Genetic Programming (SMCGP) is a form of genetic programming that integrates developmental (self-modifying) features as a genotype-phenotype mapping. This...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
112
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PACT
2005
Springer
15 years 6 months ago
XenoCluster: A Grid Computing Approach to Finding Ancient Evolutionary Genetic Anomalies
Jesse D. Walters, Thomas L. Casavant, John P. Robi...