10 search results - page 1 / 2 » Semi-Supervised Clustering via Matrix Factorization |
SDM
2008
SIAM
13 years 5 months ago
2008
SIAM
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
DILS
2008
Springer
13 years 6 months ago
2008
Springer
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
ICPR
2008
IEEE
13 years 10 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
SIGIR
2008
ACM
2008
ACM
Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization
13 years 4 months ago
Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
BIBE
2007
IEEE
13 years 8 months ago
2007
IEEE
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...