Unsupervised feature selection based on the Morisita estimator of intrinsic dimension.
Jean GolayMikhail F. KanevskiPublished in: Knowl. Based Syst. (2017)
Keyphrases
- unsupervised feature selection
- intrinsic dimension
- intrinsic dimensionality
- dimensionality reduction
- high dimensions
- high dimensional data
- diffusion maps
- feature selection
- data clustering
- dimension reduction
- nearest neighbor
- least squares
- high dimensional
- maximum likelihood
- low dimensional
- data distribution
- vector space
- sparse representation
- data matrix
- similarity search
- neural network
- image processing
- support vector
- manifold learning
- data sets
- principal component analysis
- preprocessing
- data mining applications
- matrix factorization
- decision trees
- similarity measure
- support vector machine