Diversity Multi-View Clustering With Subspace and NMF-Based Manifold Learning.
Jiaman DingXiaojiang FangLianyin JiaYing JiangRunxin LiPublished in: IEEE Access (2023)
Keyphrases
- manifold learning
- multi view clustering
- low dimensional
- subspace learning
- dimensionality reduction
- negative matrix factorization
- high dimensional data
- high dimensional
- principal component analysis
- multi view
- probabilistic latent semantic analysis
- sparse representation
- locality preserving
- locality preserving projections
- dimension reduction
- nonlinear dimensionality reduction
- feature space
- semi supervised
- feature extraction
- lower dimensional
- linear subspace
- data points
- locally linear embedding
- nonlinear manifold
- manifold structure
- data sets
- low dimensional manifolds
- data representation
- matrix factorization
- high dimensionality
- vector space
- co occurrence
- linear discriminant analysis
- document clustering
- maximum likelihood
- input data
- viewpoint
- data analysis
- face recognition
- three dimensional