Multiobjective genetic algorithms for clustering applications in data mining and bioinformatics

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...

Полное описание

Библиографические подробности
Главный автор: Maulik, Ujjwal
Соавтор: SpringerLink (Online service)
Другие авторы: Bandyopadhyay, Sanghamitra 1968-, Mukhopadhyay, Anirban
Формат: Electronic Resource
Язык:English
Опубликовано: Heidelberg, New York Springer c2011.
Предметы:
Genetic algorithms.
Cluster analysis > Mathematical models.
Multiple criteria decision making.
Data mining > Mathematics.
Data mining.
Bioinformatics > Mathematics.
Electronic books.
Online-ссылка:Available for University of the Philippines Diliman via SpringerLink. Click here to access