Analysis of high-dimensional data using local input space histograms.
Jochen KerdelsGabriele PetersPublished in: Neurocomputing (2015)
Keyphrases
- input space
- high dimensional data
- low dimensional
- data analysis
- dimensionality reduction
- high dimensional
- nearest neighbor
- high dimensionality
- data sets
- data points
- hyperplane
- dimension reduction
- input data
- feature space
- regression problems
- kernel function
- high dimension
- dimensional data
- subspace clustering
- clustering high dimensional data
- manifold learning
- linear discriminant analysis
- similarity search
- support vectors
- k nearest neighbor
- high dimensional spaces
- training set
- sparse representation
- feature vectors
- high dimensional datasets