Yong Wang1, Chengyong Yang1, Kalai Mathee2, Giri Narasimhan1,#
1Bioinformatics Research Group (BioRG), School of Computer Science, Florida International University
2Department of Biological Sciences, Florida International Unversity
#To whom correspondence should be addressed: School of Computer Science, Florida International University, Miami, FL 33199,
giri@cs.fiu.edu,Phone: (305) 348-3748, Fax: (305) 348-3549
Abstract
This paper presents an innovative, adaptive variant of Kohonen’s self-organizing maps called ASOM, which is an unsupervised clustering method that adaptively decides on the best architecture for the self-organizing map. Like the traditional SOMs, this clustering technique also provides useful information about the relationship between the resulting clusters. Applications of the resulting software to clustering biological data are discussed in detail.
Manuscript (pdf) [Paper will be available soon]
Supplemental Material