CCP: Correlated Clustering and Projection for Dimensionality Reduction.
Yuta HozumiRui WangGuo-Wei WeiPublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensionality
- pattern recognition and machine learning
- linear projection
- clustering method
- unsupervised learning
- clustering algorithm
- data points
- principal component analysis
- discriminant projection
- hierarchical clustering
- high dimensional
- pattern recognition
- manifold learning
- categorical data
- feature selection
- feature extraction
- low dimensional
- k means
- feature space
- linear discriminant analysis
- document clustering
- spectral clustering
- data representation
- principal components analysis
- self organizing maps
- data clustering
- projection method
- input space
- subspace clustering
- data sets
- data analysis
- graph theoretic
- highly correlated
- dimension reduction
- anomaly detection
- cluster analysis
- euclidean distance