Feature selection or extraction decision process for clustering using PCA and FRSD.
Jean-Sébastien DessureaultDaniel MassicottePublished in: CoRR (2021)
Keyphrases
- decision process
- feature selection
- k means
- principal components analysis
- decision makers
- dimensionality reduction
- principal component analysis
- decision support system
- clustering algorithm
- unsupervised learning
- feature subspace
- high dimensionality
- feature space
- decision making
- feature extraction
- decision processes
- unsupervised feature selection
- text categorization
- clustering method
- decision support
- situation awareness
- mutual information
- data clustering
- feature reduction
- face recognition
- dimension reduction
- principal components
- text classification
- high dimensional
- information systems
- machine learning
- feature selection algorithms
- database
- group decision
- spectral clustering
- document clustering
- cluster analysis
- covariance matrix
- feature set
- support vector machine
- classification accuracy
- expert systems
- data mining