Dimensionality Reduction for Categorical Data.
Debajyoti BeraRameshwar PratapBhisham Dev VermaPublished in: CoRR (2021)
Keyphrases
- categorical data
- dimensionality reduction
- cluster analysis
- numerical data
- parameter free
- high dimensional
- low dimensional
- unsupervised learning
- high dimensional data
- linear discriminant analysis
- principal component analysis
- numeric data
- binary data
- feature extraction
- manifold learning
- pattern recognition
- feature space
- high dimensionality
- attribute values
- feature selection
- principal components
- data points
- correspondence analysis
- multidimensional scaling
- density based clustering
- data mining techniques
- hierarchical latent class models
- discriminant analysis
- recommender systems
- pairwise
- training set
- kernel pca
- multivariate time series
- text mining
- hierarchical clustering algorithm