Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns.
Ray L. SomorjaiBrion DolenkoAleksander B. DemkoMarina MandelzweigAleksander E. NikulinRichard BaumgartnerNicolino J. PizziPublished in: J. Biomed. Informatics (2004)
Keyphrases
- high dimensional data
- high dimensional
- relative distance
- low dimensional
- dimensionality reduction
- high dimensionality
- nearest neighbor
- high dimensions
- low dimensional structure
- similarity search
- subspace clustering
- data points
- high dimensional spaces
- data sets
- dimension reduction
- input space
- original data
- data analysis
- high dimensional datasets
- sparse representation
- view angle
- variable selection
- three dimensional
- manifold learning
- feature space
- text data
- input data
- dimensional data
- clustering high dimensional data
- small sample size
- high dimensional feature space
- lower dimensional
- gene expression data
- pattern recognition
- high dimensional data sets
- high dimensional feature spaces
- linear discriminant analysis
- latent space
- training data
- euclidean space
- nonlinear dimensionality reduction
- principal component analysis
- multi dimensional
- neural network