Manifold Hypothesis in Data Analysis: Double Geometrically-Probabilistic Approach to Manifold Dimension Estimation.
Alexander IvanovGleb V. NosovskiyAlexey ChekunovDenis FedoseevVladislav KibkaloMikhail NikulinFedor PopelenskiyStepan KomkovIvan MazurenkoAleksandr PetiushkoPublished in: CoRR (2021)
Keyphrases
- data analysis
- low dimensional
- manifold learning
- high dimensional
- lower dimensional
- euclidean space
- neural network
- manifold structure
- bayesian networks
- high dimension
- data mining
- generative model
- dimensionality reduction
- feature space
- parameter estimation
- dimension reduction
- parameter space
- data warehouse
- feature extraction
- lie group
- lower dimension