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CVPR
2009
IEEE
17 years 1 months ago
Learning Trajectory Patterns by Clustering: Experimental Studies and Comparative Evaluation
Recently a large amount of research has been devoted to automatic activity analysis. Typically, activities have been defined by their motion characteristics and represented by t...
Brendan Morris, Mohan M. Trivedi
WWW
2007
ACM
16 years 7 months ago
A new suffix tree similarity measure for document clustering
In this paper, we propose a new similarity measure to compute the pairwise similarity of text-based documents based on suffix tree document model. By applying the new suffix tree ...
Hung Chim, Xiaotie Deng
KDD
2005
ACM
112views Data Mining» more  KDD 2005»
16 years 6 months ago
Model-based overlapping clustering
While the vast majority of clustering algorithms are partitional, many real world datasets have inherently overlapping clusters. Several approaches to finding overlapping clusters...
Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh,...
AAIM
2009
Springer
101views Algorithms» more  AAIM 2009»
16 years 1 months ago
Orca Reduction and ContrAction Graph Clustering
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
Daniel Delling, Robert Görke, Christian Schul...
INFOSCALE
2006
ACM
16 years 11 days ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...