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KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 11 days ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
WEBI
2005
Springer
15 years 3 months ago
WICER: A Weighted Inter-Cluster Edge Ranking for Clustered Graphs
Several algorithms based on link analysis have been developed to measure the importance of nodes on a graph such as pages on the World Wide Web. PageRank and HITS are the most pop...
Divya Padmanabhan, Prasanna Kumar Desikan, Jaideep...
NIPS
2001
14 years 11 months ago
The Method of Quantum Clustering
We propose a novel clustering method that is an extension of ideas inherent to scale-space clustering and support-vector clustering. Like the latter, it associates every data poin...
David Horn, Assaf Gottlieb
VLDB
1998
ACM
312views Database» more  VLDB 1998»
15 years 2 months ago
WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases
Many applications require the management of spatial data. Clustering large spatial databases is an important problem which tries to find the densely populated regions in the featu...
Gholamhosein Sheikholeslami, Surojit Chatterjee, A...
ICIAR
2004
Springer
15 years 3 months ago
CVPIC Compressed Domain Image Retrieval by Colour and Shape
Image retrieval and image compression have been pursued separately in the past. Only little research has been conducted on a synthesis of the two by allowing image retrieval to be ...
Gerald Schaefer, Simon Lieutaud