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JMLR
2012
11 years 8 months ago
NIMFA: A Python Library for Nonnegative Matrix Factorization
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
Marinka Zitnik, Blaz Zupan
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
14 years 7 days ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
MP
2008
80views more  MP 2008»
13 years 5 months ago
Modified Cholesky algorithms: a catalog with new approaches
Given an n
Haw-ren Fang, Dianne P. O'Leary
TOMS
2011
84views more  TOMS 2011»
13 years 22 days ago
A Supernodal Approach to Incomplete LU Factorization with Partial Pivoting
We present a new supernode-based incomplete LU factorization method to construct a preconditioner for solving sparse linear systems with iterative methods. The new algorithm is pr...
Xiaoye S. Li, Meiyue Shao
JASIS
2008
109views more  JASIS 2008»
13 years 5 months ago
Modifying the journal impact factor by fractional citation weighting: The audience factor
A new approach to the field normalization of the classical journal impact factor is introduced called the audience factor. This approach takes into consideration the citing propen...
Michel Zitt, Henry Small