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» Finding Groups in Data: Cluster Analysis with Ants
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GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 27 days ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
BMCBI
2008
122views more  BMCBI 2008»
13 years 6 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
GECCO
2003
Springer
13 years 12 months ago
The State Problem for Evolutionary Testing
Abstract. This paper shows how the presence of states in test objects can hinder or render impossible the search for test data using evolutionary testing. Additional guidance is re...
Phil McMinn, Mike Holcombe
BIBM
2007
IEEE
137views Bioinformatics» more  BIBM 2007»
14 years 1 months ago
A Multi-metric Similarity Based Analysis of Microarray Data
Clustering has been shown to be effective in analyzing functional relationships of genes. However, no single clustering method with single distance metric is capable of capturing ...
Fatih Altiparmak, Selnur Erdal, Ozgur Ozturk, Haka...
MSWIM
2006
ACM
14 years 21 days ago
Analysis of soft handover measurements in 3G network
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analys...
Kimmo Raivio