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» Feature Selection in Clustering Problems
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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 3 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 2 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu
SASO
2007
IEEE
14 years 3 months ago
Improving ICE Service Selection in a P2P System using the Gradient Topology
Internet Connectivity Establishment (ICE) is becoming increasingly important for P2P systems on the open Internet, as it enables NAT-bound peers to provide accessible services. A ...
Jim Dowling, Jan Sacha, Seif Haridi
BMVC
2002
13 years 11 months ago
Texture classification with thousands of features
The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but t...
Alexander Kadyrov, A. Talepbour, Maria Petrou
ICIP
2007
IEEE
14 years 3 months ago
Adaptive Cluster-Distance Bounding for Nearest Neighbor Search in Image Databases
We consider approaches for exact similarity search in a high dimensional space of correlated features representing image datasets, based on principles of clustering and vector qua...
Sharadh Ramaswamy, Kenneth Rose