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CIKM
2000
Springer
14 years 2 months ago
A Semi-Supervised Document Clustering Technique for Information Organization
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
Han-joon Kim, Sang-goo Lee
CLUSTER
2003
IEEE
14 years 3 months ago
Parallel Design Pattern for Computational Biology and Scientific Computing Applications
Dynamic programming is an important algorithm design technique in computational biology and scientific computing. Typical applications using this technique are very compute-intens...
Weiguo Liu, Bertil Schmidt
ICDE
2004
IEEE
133views Database» more  ICDE 2004»
14 years 11 months ago
GenExplore: Interactive Exploration of Gene Interactions from Microarray Data
DNA Microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...
Yong Ye, Xintao Wu, Kalpathi R. Subramanian, Liyin...
NECO
2008
134views more  NECO 2008»
13 years 10 months ago
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
Daniel J. Navarro, Thomas L. Griffiths
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König