关键词: 亲和力计算 人工免疫网络 文本聚类

Abstract:

A new method which can accurately compute the affinity between documents is presented in this paper. By using the method a document clustering algorithm based on artificial immune networks is proposed. Simulation results show that the new algorithm can not only locate new clusters automatically, but h as the advantage of being independent of the input initialization and incremental clustering ability as well, where it has better clustering quality and  higher data compression rate than some current document clustering algorithms.

Key words: affinity computing, artificial immune network, document clustering