Classification of Categorical Data in the Feature Space of Monotone DNFs.
Mirko PolatoIvano LauriolaFabio AiolliPublished in: ICANN (2) (2017)
Keyphrases
- categorical data
- feature space
- classification accuracy
- cluster analysis
- parameter free
- correspondence analysis
- feature vectors
- numerical data
- feature extraction
- training samples
- numeric data
- dimension reduction
- feature selection
- high dimensionality
- pattern recognition
- support vector machine
- machine learning
- data points
- feature set
- databases
- image classification
- principal component analysis
- data sets
- attribute values
- kernel function
- unsupervised learning
- low dimensional
- input space
- dimensionality reduction
- support vector
- hierarchical latent class models