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» Dominant Sets and Pairwise Clustering
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ICGI
2004
Springer
14 years 11 days ago
Identifying Clusters from Positive Data
The present work studies clustering from an abstract point of view and investigates its properties in the framework of inductive inference. Any class S considered is given by a hyp...
John Case, Sanjay Jain, Eric Martin, Arun Sharma, ...
CVPR
2003
IEEE
14 years 9 days ago
Graph-Theoretic Approach to Clustering and Segmentation
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
Massimiliano Pavan, Marcello Pelillo
ICCAD
1998
IEEE
65views Hardware» more  ICCAD 1998»
13 years 11 months ago
Multiway partitioning with pairwise movement
It is known to many researchers in the partitioning community that the recursive bipartitioning approach outperforms the direct non-recursive approach in solving the multiway part...
Jason Cong, Sung Kyu Lim
CVPR
2006
IEEE
14 years 9 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
CAINE
2009
13 years 4 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...