Impact of Similarity Measures on Web-page Clustering Export

@inproceedings{clust_wp_similarity_2000, abstract = {Clustering of web documents enables (semi-)automated categorization, and facilitates certain types of search. Any clustering method has to embed the documents in a suitable similarity space. While several clustering methods and the associated similarity measures have been proposed in the past, there is no systematic comparative study of the impact of similarity metrics on cluster quality, possibly because the popular cost criteria do not readily translate across qualitatively different metrics. ...}, author = {Strehl, Alexander and Ghosh, Joydeep and Mooney, Raymond}, booktitle = {Proceedings of the 17th National Conference on Artificial Intelligence: Workshop of Artificial Intelligence for Web Search (AAAI 2000), 30-31 July 2000, Austin, Texas, USA}, citeulike-article-id = {142352}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.2110}, keywords = {clustering, diplomarbeit}, month = {July}, pages = {58--64}, posted-at = {2007-09-04 13:47:31}, priority = {3}, publisher = {AAAI}, title = {Impact of Similarity Measures on Web-page Clustering}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.2110}, year = {2000} }

TY - CONF ID - clust_wp_similarity_2000 L3 - citeulike-article-id:142352 N2 - Clustering of web documents enables (semi-)automated categorization, and facilitates certain types of search. Any clustering method has to embed the documents in a suitable similarity space. While several clustering methods and the associated similarity measures have been proposed in the past, there is no systematic comparative study of the impact of similarity metrics on cluster quality, possibly because the popular cost criteria do not readily translate across qualitatively different metrics. ... EP - 64 TI - Impact of Similarity Measures on Web-page Clustering PB - AAAI T2 - Proceedings of the 17th National Conference on Artificial Intelligence: Workshop of Artificial Intelligence for Web Search (AAAI 2000), 30-31 July 2000, Austin, Texas, USA SP - 58 KW - clustering KW - diplomarbeit AU - Strehl, Alexander AU - Ghosh, Joydeep AU - Mooney, Raymond PY - 2000/July// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.41.2110 ER -