LoCH: A neighborhood-based multidimensional projection technique for high-dimensional sparse spaces.
Samuel G. FadelFrancisco M. FatoreFelipe S. L. G. DuarteFernando Vieira PaulovichPublished in: Neurocomputing (2015)
Keyphrases
- high dimensional
- discrete data
- sparse data
- output space
- multi dimensional
- low dimensional
- feature space
- dimensionality reduction
- similarity search
- high dimensionality
- nearest neighbor
- dimension reduction
- variable selection
- high dimensional data
- sparse coding
- data points
- low dimensional spaces
- projection method
- input space
- multidimensional data
- collaborative filtering
- generalized linear models
- high dimensional problems
- additive models
- parameter space
- latent space
- data cube
- data sets
- radon transform
- metric space
- multidimensional space
- noisy data
- microarray data
- linear combination
- data mining