Enhancing cluster analysis via topological manifold learning.
Moritz HerrmannDaniyal KazempourFabian ScheiplPeer KrögerPublished in: Data Min. Knowl. Discov. (2024)
Keyphrases
- manifold learning
- cluster analysis
- dimension reduction
- categorical data
- low dimensional
- dimensionality reduction
- hierarchical latent class models
- nonlinear dimensionality reduction
- unsupervised learning
- semi supervised
- data clustering
- clustering method
- k means
- data mining
- high dimensional
- clustering algorithm
- data analysis
- data mining techniques
- high dimensional data
- discriminant analysis
- sparse representation
- feature extraction
- factor analysis
- geodesic distance
- pattern recognition
- manifold structure
- data points
- data sets
- labeled data
- independent component analysis
- semi supervised learning