Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data

[1]  Ujjwal Maulik,et al.  Advanced Methods for Knowledge Discovery from Complex Data , 2005 .

[2]  Jill Duncan,et al.  Analyzing microarray data using cluster analysis. , 2003, Pharmacogenomics.

[3]  Goldberg,et al.  Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.

[4]  Marco Laumanns,et al.  SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .

[5]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[6]  Ujjwal Maulik,et al.  Genetic algorithm-based clustering technique , 2000, Pattern Recognit..

[7]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[8]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[9]  D. Botstein,et al.  The transcriptional program of sporulation in budding yeast. , 1998, Science.

[10]  Ronald W. Davis,et al.  A genome-wide transcriptional analysis of the mitotic cell cycle. , 1998, Molecular cell.

[11]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[12]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[13]  Gerardo Beni,et al.  A Validity Measure for Fuzzy Clustering , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[15]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[16]  J. Hartigan Clustering Algorithms , 1975 .

[17]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .