A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data.
Tarcísio LucasTúlio C. P. B. SilvaRenato VimieiroTeresa Bernarda LudermirPublished in: Appl. Soft Comput. (2017)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensionality
- high dimensions
- evolutionary algorithm
- subspace clustering
- data analysis
- high dimensional
- data sets
- similarity search
- data points
- dimension reduction
- data distribution
- input space
- linear discriminant analysis
- text data
- sparse representation
- original data
- manifold learning
- dimensional data
- clustering high dimensional data
- variable selection
- lower dimensional
- high dimensional data sets
- high dimensional spaces
- nonlinear dimensionality reduction
- small sample size
- hyperplane
- input data
- multi dimensional
- learning algorithm
- high dimensional datasets
- genetic algorithm
- data mining