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TKDD
2008
75views more  TKDD 2008»
11 years 6 months ago
A clustering framework based on subjective and objective validity criteria
Maria Halkidi, Dimitrios Gunopulos, Michalis Vazir...
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
12 years 4 days 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...
DASFAA
2007
IEEE
190views Database» more  DASFAA 2007»
12 years 26 days ago
Clustering Moving Objects in Spatial Networks
Advances in wireless networks and positioning technologies (e.g., GPS) have enabled new data management applications that monitor moving objects. In such new applications, realtime...
Jidong Chen, Caifeng Lai, Xiaofeng Meng, Jianliang...
ISBI
2004
IEEE
12 years 7 months ago
Clustering-Based Framework for Comparing fMRI Analysis Methods
In this paper, a cluster-based framework is introduced for comparing analysis methods of functional magnetic resonance images (fMRI). In the proposed framework, fMRI data is repla...
Hamid Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh, A...
KI
2009
Springer
12 years 1 months ago
Generalized Clustering via Kernel Embeddings
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
Stefanie Jegelka, Arthur Gretton, Bernhard Sch&oum...
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