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TKDE
2008
121views more  TKDE 2008»
14 years 9 months ago
On Modularity Clustering
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
AAAI
2008
15 years 4 days ago
Multi-View Local Learning
The idea of local learning, i.e., classifying a particular example based on its neighbors, has been successfully applied to many semi-supervised and clustering problems recently. ...
Dan Zhang, Fei Wang, Changshui Zhang, Tao Li
ERCIMDL
2009
Springer
109views Education» more  ERCIMDL 2009»
15 years 4 months ago
Exploratory Web Searching with Dynamic Taxonomies and Results Clustering
Abstract. This paper proposes exploiting both explicit and mined metadata for enriching Web searching with exploration services. On-line results clustering is useful for providing ...
Panagiotis Papadakos, Stella Kopidaki, Nikos Armen...
APBC
2003
14 years 11 months ago
Microarray Image Processing Based on Clustering and Morphological Analysis
Microarrays allow the monitoring of expressions for tens of thousands of genes simultaneously. Image analysis is an important aspect for microarray experiments that can affect sub...
Shuanhu Wu, Hong Yan
CVPR
2012
IEEE
13 years 7 days ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox