%0 Generic %1 Carrasco03clusteringof %A Carrasco, John Joseph %A Joseph, John %A Daniel, Carrasco %A Fain, C. %A Lang, Kevin J. %A Zhukov, Leonid %D 2003 %K clustering graph hierarchical %T Clustering of Bipartite Advertiser-Keyword Graph %U http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.8969 %X In this paper we present top-down and bottom-up hierarchical clustering methods for large bipartite graphs. The top down approach employs a flow-based graph partitioning method, while the bottom up approach is a multiround hybrid of the single-link and average-link agglomerative clustering methods. We evaluate the quality of clusters obtained by these two methods using additional textual information and compare the results against other clustering techniques.

@misc{Carrasco03clusteringof, abstract = {In this paper we present top-down and bottom-up hierarchical clustering methods for large bipartite graphs. The top down approach employs a flow-based graph partitioning method, while the bottom up approach is a multiround hybrid of the single-link and average-link agglomerative clustering methods. We evaluate the quality of clusters obtained by these two methods using additional textual information and compare the results against other clustering techniques.}, added-at = {2011-07-25T13:23:36.000+0200}, author = {Carrasco, John Joseph and Joseph, John and Daniel, Carrasco and Fain, C. and Lang, Kevin J. and Zhukov, Leonid}, biburl = {https://www.bibsonomy.org/bibtex/2dc0c73a9c131b5766d33f210f9c2baf6/vipirtti}, description = {CiteSeerX — Clustering of Bipartite Advertiser-Keyword Graph}, interhash = {31d180023ce715d0123c3b56550dd38f}, intrahash = {dc0c73a9c131b5766d33f210f9c2baf6}, keywords = {clustering graph hierarchical}, timestamp = {2011-07-25T13:23:36.000+0200}, title = {Clustering of Bipartite Advertiser-Keyword Graph}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.8969}, year = 2003 }