Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Description

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.