Effectively summarizing Web page collections becomes more and more critical as the amount of information continues to grow on the World Wide Web. A concise and meaningful summary ...
Yongzheng Zhang, A. Nur Zincir-Heywood, Evangelos ...
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
We present a novel approach to managing redundancy in sequence databanks such as GenBank. We store clusters of near-identical sequences as a representative union-sequence and a se...
Michael Cameron, Yaniv Bernstein, Hugh E. Williams
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...