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» Measuring the Quality of Approximated Clusterings
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BTW
2005
Springer
80views Database» more  BTW 2005»
13 years 10 months ago
Measuring the Quality of Approximated Clusterings
Abstract. Clustering has become an increasingly important task in modern application domains. In many areas, e.g. when clustering complex objects, in distributed clustering, or whe...
Hans-Peter Kriegel, Martin Pfeifle
SYNASC
2006
IEEE
106views Algorithms» more  SYNASC 2006»
13 years 10 months ago
A Quality Measure for Multi-Level Community Structure
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
Maylis Delest, Jean-Marc Fedou, Guy Melanço...
CIARP
2010
Springer
13 years 3 months ago
Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
Reynaldo Gil-García, Aurora Pons-Porrata
DBA
2004
113views Database» more  DBA 2004»
13 years 6 months ago
A Quality Measure for Distributed Clustering
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
NIPS
2008
13 years 6 months ago
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) tha...
Shai Ben-David, Margareta Ackerman