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» An objective evaluation criterion for clustering
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CORIA
2008
13 years 9 months ago
Involving Validity Indices in Document Clustering
The goal of any clustering algorithm is to find the optimal clustering solution with the optimal number of clusters. In order to evaluate a clustering solution, a number of validit...
Ahmad El Sayed, Hakim Hacid, Djamel A. Zighed
ICDE
2006
IEEE
118views Database» more  ICDE 2006»
14 years 1 months ago
Evaluation of Placement and Access Asignment for Replicated Object Striping
The number of stored objects that should be targets of high throughput retrieval, such as multimedia stream objects, is increasing recently. To implement a high throughput storage...
Makoto Kataigi, Dai Kobayashi, Tomohiro Yoshihara,...
NIPS
2003
13 years 9 months ago
Clustering with the Connectivity Kernel
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
PRL
2008
122views more  PRL 2008»
13 years 7 months ago
Constraints for closest point finding
The traditional closest point criterion has been widely used for 3D free form shape matching, object recognition, internet search, computer graphics and medical imaging. However, ...
Yonghuai Liu
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
14 years 1 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov