A Generalized Linear Model for Principal Component Analysis of Binary Data.
Andrew I. ScheinLawrence K. SaulLyle H. UngarPublished in: AISTATS (2003)
Keyphrases
- linear model
- binary data
- principal component analysis
- least squares
- regression model
- formal concept analysis
- linear models
- categorical data
- exploratory data mining
- high dimensional
- nonlinear models
- dimensionality reduction
- data sets
- principal components
- continuous data
- additive model
- dimension reduction
- feature space
- itemsets
- feature extraction
- linear transformations
- classification accuracy
- face recognition
- databases