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» Measuring the Quality of Approximated Clusterings
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EMO
2006
Springer
158views Optimization» more  EMO 2006»
15 years 3 months ago
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration
The design of quality measures for approximations of the Pareto-optimal set is of high importance not only for the performance assessment, but also for the construction of multiobj...
Eckart Zitzler, Dimo Brockhoff, Lothar Thiele
212
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ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 1 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
103
Voted
SIGIR
2002
ACM
14 years 11 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
CORR
2004
Springer
112views Education» more  CORR 2004»
14 years 11 months ago
Clustering Techniques for Marbles Classification
João Rogério Caldas Pinto, Pedro Pin...
101
Voted
WWW
2010
ACM
15 years 6 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney