Neural Manifold Clustering and Embedding.
Zengyi LiYubei ChenYann LeCunFriedrich T. SommerPublished in: CoRR (2022)
Keyphrases
- clustering algorithm
- k means
- manifold embedding
- nonlinear dimensionality reduction
- multidimensional scaling
- clustering method
- network architecture
- neural network
- graph embedding
- geodesic distance
- categorical data
- hierarchical clustering
- information theoretic
- euclidean space
- laplacian eigenmaps
- data sets
- vector space
- document clustering
- data clustering
- spectral clustering
- outlier detection
- self organizing maps
- unsupervised learning
- low dimensional
- data points
- high dimensional
- image segmentation