A comparison of document clustering techniques Export

@misc{citeulike:2609821, abstract = {This paper presents the results of an experimental study of some common document clustering techniques. In particular, we compare the two main approaches to document clustering, agglomerative hierarchical clustering and K-means. (For K-means we used a \"standard\" K-means algorithm and a variant of K-means, \"bisecting\" K-means.) Hierarchical clustering is often portrayed as the better quality clustering approach, but is limited because of its quadratic time complexity. In contrast, K-means and...}, author = {Steinbach, M. and Karypis, G. and Kumar, V.}, citeulike-article-id = {2609821}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.1505}, keywords = {clustering, similarity}, posted-at = {2008-03-28 23:54:12}, priority = {2}, title = {A comparison of document clustering techniques}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.1505}, year = {2000} }

TY - GEN ID - citeulike:2609821 L3 - citeulike-article-id:2609821 N2 - This paper presents the results of an experimental study of some common document clustering techniques. In particular, we compare the two main approaches to document clustering, agglomerative hierarchical clustering and K-means. (For K-means we used a "standard" K-means algorithm and a variant of K-means, "bisecting" K-means.) Hierarchical clustering is often portrayed as the better quality clustering approach, but is limited because of its quadratic time complexity. In contrast, K-means and... TI - A comparison of document clustering techniques KW - clustering KW - similarity AU - Steinbach, M AU - Karypis, G AU - Kumar, V PY - 2000/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.1505 ER -