%T Generating, Visualizing and Evaluating High Quality Clusters for Information Organization
%A J. Aslam
%A K. Pelekhov
%A Daniela Rus
%R Technical Report PCS-TR97-319
%I Dartmouth College, Computer Science
%C Hanover, NH
%D August 1997
%U http://www.cs.dartmouth.edu/reports/TR97-319.ps.Z
%X
 We present and analyze the star clustering algorithm. We discuss
 an implementation of this algorithm that supports browsing and
 document retrieval through information organization. We define three
 parameters for evaluating a clustering algorithm to measure the topic
 separation and topic aggregation achieved by the algorithm. In the
 absence of benchmarks, we present a method for randomly generating
 clustering data. Data from our user study shows evidence that the star
 algorithm is effective for organizing information.
%Z
 Submitted to the 1998 SIGIR Conference.