Dimensionality Reduction for Categorical Data.
Debajyoti BeraRameshwar PratapBhisham Dev VermaPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- categorical data
- dimensionality reduction
- cluster analysis
- numerical data
- high dimensional data
- high dimensional
- parameter free
- high dimensionality
- binary data
- numeric data
- principal component analysis
- unsupervised learning
- feature extraction
- data points
- low dimensional
- feature selection
- attribute values
- principal components
- pattern recognition
- linear discriminant analysis
- manifold learning
- distance based outlier detection
- databases
- feature space
- correspondence analysis
- machine learning
- multivariate time series
- numerical attributes
- clustering method
- multidimensional scaling
- data analysis
- data streams
- clustering algorithm
- computer vision
- real world