Soft dimensionality reduction for reinforcement data clustering.
Fatemeh FathinezhadPeyman AdibiBijan ShoushtarianHamidreza Baradaran KashaniJocelyn ChanussotPublished in: World Wide Web (WWW) (2023)
Keyphrases
- data clustering
- dimensionality reduction
- unsupervised learning
- high dimensional data
- reinforcement learning
- principal component analysis
- high dimensional
- feature selection
- spectral clustering
- low dimensional
- clustering algorithm
- feature extraction
- manifold learning
- high dimensionality
- cluster analysis
- k means
- pattern recognition
- linear discriminant analysis
- deterministic annealing
- principal components
- competitive learning
- exploratory data analysis
- unsupervised feature selection
- data points
- feature space
- data sets
- semi supervised
- self organizing maps
- dimension reduction
- supervised learning
- principal components analysis