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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
CIKM
2004
Springer
14 years 2 months ago
Soft clustering criterion functions for partitional document clustering: a summary of results
Recently published studies have shown that partitional clustering algorithms that optimize certain criterion functions, which measure key aspects of inter- and intra-cluster simil...
Ying Zhao, George Karypis
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 9 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
WEBI
2005
Springer
14 years 2 months ago
WICER: A Weighted Inter-Cluster Edge Ranking for Clustered Graphs
Several algorithms based on link analysis have been developed to measure the importance of nodes on a graph such as pages on the World Wide Web. PageRank and HITS are the most pop...
Divya Padmanabhan, Prasanna Kumar Desikan, Jaideep...
CHI
2011
ACM
13 years 17 days ago
Homebrew databases: complexities of everyday information management in nonprofit organizations
Many people manage a complex assortment of digital information in their lives. Volunteer coordinators at nonprofit organizations are no exception; they collectively manage informa...
Amy Voida, Ellie Harmon, Ban Al-Ani