An Evolutionary Hierarchical Clustering Method with a Visual Validation Tool

Autor:	Carlos Armando García, Luis A. Miguel-Quintales, José A. Castellanos-Garzón
Rok vydání:	2009
Předmět:	Clustering high-dimensional data Visual analytics ComputingMethodologies_PATTERNRECOGNITION Computer science Consensus clustering Dendrogram Correlation clustering Evolutionary algorithm Data mining computer.software_genre Cluster analysis computer Hierarchical clustering
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642024771 IWANN (1)
DOI:	10.1007/978-3-642-02478-8_46
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::272a9e955556c9e30fc3028f583cea1e https://doi.org/10.1007/978-3-642-02478-8_46 Zobrazit plný text záznamu