Principal component analysis of binary data by iterated singular value decomposition.
Jan de LeeuwPublished in: Comput. Stat. Data Anal. (2006)
Keyphrases
- singular value decomposition
- binary data
- principal component analysis
- dimensionality reduction
- high dimensional
- dimension reduction
- face recognition
- categorical data
- singular values
- data sets
- formal concept analysis
- low rank
- principal components
- latent semantic indexing
- itemsets
- linear discriminant analysis
- low dimensional
- least squares
- feature space
- discriminant analysis
- subspace learning
- low rank approximation
- continuous data
- data matrix
- feature extraction
- negative matrix factorization
- image classification
- data mining