iLAMP: Exploring high-dimensional spacing through backward multidimensional projection.
Elisa Portes dos Santos AmorimEmilio Vital BrazilJoel Daniels IIPaulo JoiaLuis Gustavo NonatoMario Costa SousaPublished in: IEEE VAST (2012)
Keyphrases
- high dimensional
- multi dimensional
- discrete data
- low dimensional
- multidimensional data
- variable selection
- similarity search
- high dimensionality
- sparse data
- forward and backward
- high dimensional data
- dimensionality reduction
- projection method
- noisy data
- feature space
- multi modal
- high dimensional problems
- nearest neighbor
- database
- data points
- bi directional
- dimensional data
- radon transform
- forward backward
- dimension reduction
- input space
- manifold learning
- data cube
- microarray data
- gene expression data
- kernel function
- decision trees