Topological features of multivariate distributions: Dependency on the covariance matrix.
Lloyd L. AromiYuri A. KatzJosep VivesPublished in: Commun. Nonlinear Sci. Numer. Simul. (2021)
Keyphrases
- covariance matrix
- topological features
- multivariate normal
- multivariate gaussian
- covariance matrices
- principal component analysis
- link prediction
- normal distribution
- class conditional densities
- sample size
- gaussian mixture
- persistent homology
- mahalanobis distance
- geometrical interpretation
- objective function
- maximum likelihood estimation
- eigendecomposition
- correlation matrix
- eigenvalues and eigenvectors
- topological map
- complex networks
- symmetric matrix
- mixture model
- cma es
- probability distribution
- mobile robot