Genetic Algorithms Applied to Multi-Class Clustering for Gene Expression Data

A hybrid GA (genetic algorithm)-based clustering (HGACLUS) schema, combining merits of the Simulated Annealing, was described for finding an optimal or near-optimal set of medoids. This schema maximized the clustering success by achieving internal cluster cohesion and external cluster isolation. The...

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Detalles Bibliográficos
Autores principales: Pan, Haiyan, Zhu, Jun, Han, Danfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2003
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172428/
https://www.ncbi.nlm.nih.gov/pubmed/15629056
http://dx.doi.org/10.1016/S1672-0229(03)01033-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5172428/
https://www.ncbi.nlm.nih.gov/pubmed/15629056
http://dx.doi.org/10.1016/S1672-0229(03)01033-7

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