Beyond Boolean Matrix Decompositions: Toward Factor Analysis and Dimensionality Reduction of Ordinal Data.
Radim BelohlávekMarkéta KrmelováPublished in: ICDM (2013)
Keyphrases
- factor analysis
- ordinal data
- dimensionality reduction
- singular value decomposition
- independent component analysis
- principal component analysis
- discriminant analysis
- component analysis
- linear discriminant analysis
- latent factors
- low dimensional
- cluster analysis
- matrix factorization
- unsupervised learning
- feature extraction
- pattern recognition
- data representation
- high dimensional data
- high dimensional
- principal components
- feature selection
- data points
- statistical tests
- feature space
- correspondence analysis
- automatic model selection
- statistically significant
- association rules
- kernel pca
- training data
- least squares
- neural network