Beyond linear subspace clustering: A comparative study of nonlinear manifold clustering algorithms.
Maryam AbdolaliNicolas GillisPublished in: Comput. Sci. Rev. (2021)
Keyphrases
- subspace clustering
- nonlinear manifold
- clustering algorithm
- high dimensional data
- low dimensional
- manifold learning
- dimensionality reduction
- high dimensional
- dimension reduction
- clustering method
- subspace clusters
- linear subspace
- clustering approaches
- high dimensionality
- sparse coding
- manifold structure
- k means
- nearest neighbor
- data sets
- data analysis
- pattern recognition
- linear discriminant analysis
- dense regions
- random projections
- document clustering
- cluster analysis
- semi supervised
- computer vision