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» Measuring the Quality of Approximated Clusterings
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129
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AAIM
2009
Springer
101views Algorithms» more  AAIM 2009»
15 years 8 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...
152
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ACST
2006
15 years 3 months ago
Distributed hierarchical document clustering
This paper investigates the applicability of distributed clustering technique, called RACHET [1], to organize large sets of distributed text data. Although the authors of RACHET c...
Debzani Deb, M. Muztaba Fuad, Rafal A. Angryk
IAT
2008
IEEE
15 years 8 months ago
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems
The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based re...
Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosr...
97
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SIGIR
2003
ACM
15 years 7 months ago
An information-theoretic measure for document similarity
Recent work has demonstrated that the assessment of pairwise object similarity can be approached in an axiomatic manner using information theory. We extend this concept specifica...
Javed A. Aslam, Meredith Frost
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 5 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar