Multiobjective genetic algorithms for clustering applications in data mining and bioinformatics

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques ? genetic algorithms, multiobjective optimization, soft...

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Bibliografiska uppgifter

Huvudupphovsman:	Maulik, Ujjwal
Institutionell upphovsman:	SpringerLink (Online service)
Övriga upphovsmän:	Bandyopadhyay, Sanghamitra 1968-, Mukhopadhyay, Anirban
Materialtyp:	Electronic Resource
Språk:	English
Publicerad:	Heidelberg, New York Springer c2011.
Ämnen:	Genetic algorithms. Cluster analysis > Mathematical models. Multiple criteria decision making. Data mining > Mathematics. Data mining. Bioinformatics > Mathematics. Electronic books.
Länkar:	Available for University of the Philippines Diliman via SpringerLink. Click here to access