New Clustering Approach for Protein Sequences

Abstract

Clustering, or unsupervised classification, is an important problem in bioinformatics which serves to automatically group protein sequences into families. In this paper we explain the process of our approach. In the first part, we present extraction phase and features weighting subsequently features selecting. Then we explain our new distance equation and finally we describe the clustering method: k-medoids.