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WEBI
2007
Springer
15 years 4 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
ICASSP
2011
IEEE
14 years 1 months ago
Co-clustering as multilinear decomposition with sparse latent factors
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
Evangelos E. Papalexakis, Nicholas D. Sidiropoulos
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
15 years 7 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
CANDC
2009
ACM
15 years 4 months ago
Creativity factor evaluation: towards a standardized survey metric for creativity support
We present a new survey metric, the Creativity Support Index (CSI) that is designed to help researchers and designers evaluate the level of creativity support provided by various ...
Erin A. Carroll, Celine Latulipe, Richard Fung, Mi...
AMAI
2006
Springer
14 years 10 months ago
Symmetric approximate linear programming for factored MDPs with application to constrained problems
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee