Robust dimensionality reduction method based on relaxed energy and structure preserving embedding for multiview clustering.
Zhongyan GuiJing YangZhiqiang XiePublished in: Inf. Sci. (2023)
Keyphrases
- structure preserving
- dimensionality reduction
- dimensionality reduction methods
- high dimensional data
- data points
- high dimensional data analysis
- high dimensionality
- preprocessing step
- unsupervised learning
- clustering method
- discriminant projection
- discriminant analysis
- feature extraction
- principal components analysis
- principal component analysis
- feature selection
- cluster analysis
- clustering algorithm
- data sets
- k means
- high dimensional
- supervised dimensionality reduction
- manifold learning
- distance metric
- feature space
- kernel trick
- fisher discriminant analysis
- multimodal data
- linear discriminant analysis
- graph embedding
- lower dimensional
- random projections
- input space
- document clustering
- singular value decomposition
- pattern recognition
- machine learning