Sparsest factor analysis for clustering variables: a matrix decomposition approach.
Kohei AdachiNickolay T. TrendafilovPublished in: Adv. Data Anal. Classif. (2018)
Keyphrases
- factor analysis
- cluster analysis
- matrix decomposition
- nonnegative matrix factorization
- matrix factorization
- discriminant analysis
- clustering algorithm
- k means
- independent component analysis
- categorical data
- data clustering
- low rank
- clustering method
- unsupervised learning
- statistical tests
- least squares
- random variables
- multidimensional scaling
- spectral clustering
- probabilistic model
- missing data
- data summarization
- pattern recognition
- data representation
- singular value decomposition
- support vector machine
- document clustering
- image processing
- knowledge discovery