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Erschienen in:
2009 | OriginalPaper | Buchkapitel
An Evolutionary Hierarchical Clustering Method with a Visual Validation Tool
verfasst von : José A. Castellanos-Garzón, Carlos Armando García, Luis A. Miguel-Quintales
Erschienen in: Bio-Inspired Systems: Computational and Ambient Intelligence
Verlag: Springer Berlin Heidelberg
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In this paper, we propose a novel hierarchical clustering method based on evolutionary strategies. This method leads to gene expression data analysis, and shows its effectiveness with regard to other clustering methods through cluster validity measures on the results. Additionally, a novel visual validation interactive tool is provided to carry out visual analytics among clusters of a dendrogram. This interactive tool is an alternative for the used validity measures. The method introduced here attempts to solve some of the problems faced by other hierarchical methods. Finally, the results of the experiments show that the method can be very effective in the cluster analysis on DNA microarray data.