Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms.
Maryam AbdolaliNicolas GillisPublished in: CoRR (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
- clustering approaches
- linear subspace
- high dimensionality
- manifold structure
- k means
- dense regions
- sparse coding
- nearest neighbor
- data points
- unsupervised learning
- cluster analysis
- decision trees
- machine learning
- semi supervised
- principle component analysis
- feature selection
- spectral clustering
- pattern recognition
- pairwise
- data sets