D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data.
Hai ShuPublished in: CoRR (2024)
Keyphrases
- multi view
- high dimensional data
- dimensionality reduction
- data sets
- low dimensional
- nearest neighbor
- high dimensional
- factor analysis
- high dimensionality
- d objects
- data analysis
- semi supervised
- original data
- dimension reduction
- data points
- three dimensional
- matrix factorization
- manifold learning
- sparse representation
- linear discriminant analysis
- small sample size
- input data
- topic models
- machine learning
- pairwise
- training data