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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 11 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
105
Voted
CIKM
2004
Springer
15 years 7 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»
15 years 1 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
15 years 7 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
14 years 5 months 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