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Abstract: 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.

Note: Submitted to the 1998 SIGIR Conference.

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   J. Aslam, K. Pelekhov, and Daniela Rus, "Generating, Visualizing and Evaluating High Quality Clusters for Information Organization." Dartmouth Computer Science Technical Report PCS-TR97-319, August 1997.

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