Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques.
Ramon CasanovaRobert Gray LydayMohsen BahramiJonathan H. BurdetteSean L. SimpsonPaul J. LaurientiPublished in: Frontiers Neuroinformatics (2021)
Keyphrases
- manifold learning
- low dimensional spaces
- low dimensional
- dimensionality reduction
- latent space
- high dimensional
- nonlinear dimensionality reduction
- high dimensional data
- subspace clustering
- data points
- euclidean space
- feature extraction
- feature space
- pattern recognition
- linear discriminant analysis
- high dimensional spaces
- latent variables
- semi supervised
- dimension reduction
- gaussian process
- vector space
- lower dimensional
- high dimensionality
- unsupervised learning
- data sets
- latent dirichlet allocation
- singular value decomposition
- model selection
- multi type
- image processing