Enhancing cluster analysis via topological manifold learning.
Moritz HerrmannDaniyal KazempourFabian ScheiplPeer KrögerPublished in: CoRR (2022)
Keyphrases
- cluster analysis
- manifold learning
- dimension reduction
- categorical data
- dimensionality reduction
- low dimensional
- data clustering
- clustering method
- data mining
- clustering algorithm
- nonlinear dimensionality reduction
- unsupervised learning
- high dimensional
- factor analysis
- data analysis
- high dimensional data
- semi supervised
- k means
- manifold structure
- hierarchical latent class models
- data mining techniques
- discriminant analysis
- pattern recognition
- pairwise
- feature space
- geodesic distance
- multidimensional scaling
- reinforcement learning
- text mining
- association rules
- feature extraction
- machine learning