Clustering of Amino Acid Sequences Based on K-Medoids Method

نویسندگان

  • Chang Wang
  • Zengqiang Chen
  • Zhuzhi Yuan
چکیده

【Abstract】We describe a new approach to clustering of amino acid sequences using K-Medoids Method. This method combines K-Medoids method, Dynamic Programming and other new theories in Biology. Experiments have proved that our method can get satisfying results. We believe that the method we proposed in this paper is a powerful and flexible tool for clustering of amino acid sequences. 【Keywords】Clustering of amino acid sequences, Data Ming, K-Medoids Method, Dynamic Programming, Bioinfomatics

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تاریخ انتشار 2003