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» Incremental clustering via nonnegative matrix factorization
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BMCBI
2008
100views more  BMCBI 2008»
13 years 7 months ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
13 years 9 months ago
Semi-Supervised Clustering via Matrix Factorization
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...
Fei Wang, Tao Li, Changshui Zhang
SIGIR
2004
ACM
14 years 28 days ago
GaP: a factor model for discrete data
We present a probabilistic model for a document corpus that combines many of the desirable features of previous models. The model is called “GaP” for Gamma-Poisson, the distri...
John F. Canny
TKDE
2011
280views more  TKDE 2011»
13 years 2 months ago
Locally Consistent Concept Factorization for Document Clustering
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
Deng Cai, Xiaofei He, Jiawei Han
ICASSP
2011
IEEE
12 years 11 months ago
Clustering NMF basis functions using Shifted NMF for monaural sound source separation
Non-negative Matrix Factorization (NMF) has found use in single channel separation of audio signals, as it gives a parts-based decomposition of audio spectrograms where the parts ...
Rajesh Jaiswal, Derry Fitzgerald, Dan Barry, Eugen...