Compressibility: Power of PCA in Clustering Problems Beyond Dimensionality Reduction.
Chandra Sekhar MukherjeeJiapeng ZhangPublished in: CoRR (2022)
Keyphrases
- dimensionality reduction
- high dimensionality
- principal component analysis
- principal components analysis
- k means
- feature extraction
- high dimensional data
- dimension reduction
- high dimensional
- principal components
- data points
- low dimensional
- pattern recognition and machine learning
- np complete
- feature space
- dimensionality reduction methods
- self organizing maps
- independent component analysis
- spectral clustering
- pattern recognition
- manifold learning
- clustering algorithm
- kernel pca
- linear dimensionality reduction
- image processing