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WEBI
2005
Springer
16 years 6 days ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
DMIN
2006
142views Data Mining» more  DMIN 2006»
15 years 8 months ago
Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density (PYRAMID)
Clustering is the process of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. Practical clust...
Junping Sun, William Sverdlik, Samir Tout
NIPS
2003
15 years 8 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
CVPR
2007
IEEE
16 years 8 months ago
Approximate Nearest Subspace Search with Applications to Pattern Recognition
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
Ronen Basri, Tal Hassner, Lihi Zelnik-Manor
ICCAD
2001
IEEE
84views Hardware» more  ICCAD 2001»
16 years 3 months ago
On Identifying Don't Care Inputs of Test Patterns for Combinational Circuits
Given a test set for stuck-at faults, some of primary input values may be changed to opposite logic values without losing fault coverage. We can regard such input values as don’...
Seiji Kajihara, Kohei Miyase