Simplicial principal component analysis for density functions in Bayes spaces.
Karel HronAlessandra MenafoglioMatthias TemplKlara HruzováPeter FilzmoserPublished in: Comput. Stat. Data Anal. (2016)
Keyphrases
- density function
- principal component analysis
- density estimation
- mean shift
- probability density function
- kernel density estimation
- covariance matrix
- dimensionality reduction
- density distribution
- low dimensional
- feature space
- maximum likelihood estimation
- face recognition
- feature extraction
- decision trees
- support vector
- particle filtering
- mixture of gaussians
- support vector machine
- higher order