Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining

摘要：

This paper presents a hybrid relational clustering algorithm,termed as rough-fuzzy c-medoids,to cluster biological sequences.It comprises a judicious integration of the principles of rough sets,fuzzy sets,c-medoids algorithm,and amino acid mutation matrix used in biology.The concept of crisp lower bound and fuzzy boundary of a class,introduced in rough-fuzzy c-medoids,enables efficient selection of cluster prototypes.The effectiveness of the algorithm,along with a comparison with other algorithms,is demonstrated on different protein data sets.

作者: Pradipta Maji Sankar K.Pal

作者单位: Center for Soft Computing Research Machine Intelligence Unit,Indian Statistical Institute,India

会议类型: 国际会议

会议名称: The Third International Conference on Rough Sets and Knowledge Tevhnology(RSKT 2008)(第三届粗糙集与知识技术国际会议)

会议地点: 成都

会议语种:英文

页码: 292-299

在线出版日期: 2008-05-17（万方平台首次上网日期，不代表论文的发表时间）