Classification and visualization for high-dimensional data.
Alfred InselbergTova AvidanPublished in: KDD (2000)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- data analysis
- low dimensional
- high dimensional
- dimensionality reduction
- small sample size
- nearest neighbor
- pattern recognition
- data points
- feature space
- data sets
- data distribution
- feature extraction
- subspace clustering
- high dimensional spaces
- similarity search
- clustering high dimensional data
- manifold learning
- feature vectors
- original data
- regression problems
- text classification
- support vector machine svm
- input space
- feature selection
- high dimensions
- high dimensional feature spaces
- high dimensional datasets
- multivariate temporal data
- training samples
- input data
- support vector
- linear discriminant analysis
- missing values
- lower dimensional
- image classification
- training set
- nonlinear dimensionality reduction
- decision trees
- clustering algorithm
- machine learning
- variable selection
- dimensional data
- high dimensional data sets