Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension.
Jean GolayMikhail F. KanevskiPublished in: CoRR (2016)
Keyphrases
- unsupervised feature selection
- intrinsic dimension
- intrinsic dimensionality
- dimensionality reduction
- high dimensions
- high dimensional data
- diffusion maps
- dimension reduction
- feature selection
- nearest neighbor
- data clustering
- high dimensional
- least squares
- data distribution
- maximum likelihood
- low dimensional
- sparse representation
- similarity search
- principal component analysis
- vector space
- feature subset
- pattern recognition
- classification accuracy
- signal processing
- data points
- query processing
- manifold learning
- feature vectors
- pairwise
- computer vision