Nonlinear dimensionality reduction with q-Gaussian distribution.
Motoshi AbeYuichiro NomuraTakio KuritaPublished in: Pattern Anal. Appl. (2024)
Keyphrases
- gaussian distribution
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction
- low dimensional
- high dimensional data
- maximum likelihood
- maximum variance unfolding
- gaussian mixture model
- covariance matrices
- riemannian manifolds
- locally linear embedding
- expectation maximization
- data sets
- training set
- subspace learning
- dimensionality reduction methods
- image processing