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» An objective approach to cluster validation
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PRL
2006
73views more  PRL 2006»
13 years 4 months ago
An objective approach to cluster validation
Mohamed Bouguessa, Shengrui Wang, Haojun Sun
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
NIPS
2004
13 years 6 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
CORIA
2008
13 years 6 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
TKDD
2008
75views more  TKDD 2008»
13 years 4 months ago
A clustering framework based on subjective and objective validity criteria
Maria Halkidi, Dimitrios Gunopulos, Michalis Vazir...