document: Using symbolic objects to cluster web documents Web Clustering is useful for several activities in the WWW , from automatically building web directories to improve retrieval performance . Nevertheless , due to the huge size of the web , a linear mechanism must be employed to cluster web documents . The k-means is one classic algorithm used in this problem . We present a variant of the vector model to be used with the k-means algorithm . Our representation uses symbolic objects for clustering web documents . Some experiments were done with positive results and future work is optimistic .
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