Extracting Informative Rules from High Dimensional Data Using a Numerical Approach.
Nicolas CarrezJean-Charles LamirelShadi Al ShehabiPublished in: ICDM Workshops (2006)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- data sets
- data points
- high dimensions
- dimension reduction
- high dimensionality
- data analysis
- complex data
- similarity search
- subspace clustering
- original data
- manifold learning
- clustering high dimensional data
- sparse representation
- linear discriminant analysis
- high dimensional spaces
- high dimensional data sets
- association rules
- data distribution
- small sample size
- nonlinear dimensionality reduction
- input space
- text data
- database
- neural network
- dimensional data
- variable selection
- feature space
- input data
- lower dimensional
- computer vision
- high dimensional datasets
- image processing
- knn
- euclidean distance