A rank-based framework through manifold learning for improved clustering tasks.
Bionda RozinVanessa Helena Pereira-FerreroLeonardo Tadeu LopesDaniel Carlos Guimarães PedronettePublished in: Inf. Sci. (2021)
Keyphrases
- manifold learning
- high dimensional data
- dimensionality reduction
- intrinsic manifold
- locality preserving
- low dimensional
- feature extraction
- nonlinear dimensionality reduction
- multi task
- clustering method
- high dimensional
- data clustering
- unsupervised learning
- probabilistic model
- locally linear embedding
- training data
- diffusion maps
- feature mapping
- nonlinear manifold
- data mining