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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
13 years 10 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 2 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
NAR
2011
225views Computer Vision» more  NAR 2011»
12 years 11 months ago
IsoBase: a database of functionally related proteins across PPI networks
We describe IsoBase, a database identifying functionally related proteins, across five major eukaryotic model organisms: Saccharomyces cerevisiae, Drosophila melanogaster, Caenorh...
Daniel Park, Rohit Singh, Michael Baym, Chung-Shou...
ICPR
2008
IEEE
14 years 3 months ago
A uniformity criterion and algorithm for data clustering
We propose a novel multivariate uniformity criterion for testing uniformity of point density in an arbitrary dimensional point pattern . An unsupervised, nonparametric data cluste...
Sanketh Shetty, Narendra Ahuja
DATAMINE
2006
157views more  DATAMINE 2006»
13 years 9 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz