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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Maulik, Ujjwal (Autor), Bandyopadhyay, Sanghamitra (Autor), Mukhopadhyay, Anirban (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Artificial intelligence.
Bioinformatics.
Data mining.
Computational intelligence.
Artificial Intelligence.
Computational and Systems Biology.
Data Mining and Knowledge Discovery.
Computational Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Genetic Algorithms and Multiobjective Optimization
  • Data Mining Fundamentals
  • Computational Biology and Bioinformatics
  • Multiobjective Genetic-Algorithm-Based Fuzzy Clustering
  • Combining Pareto-Optimal Clusters Using Supervised Learning
  • Two-Stage Fuzzy Clustering
  • Clustering Categorical Data in a Multiobjective Framework
  • Unsupervised Cancer Classification and Gene Marker Identification
  • Multiobjective Biclustering in Microarray Gene Expression Data
  • References
  • Index.

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