FERHD: A feasible approach for extracting fuzzy classification rules from high-dimensional data.
Homeira ShahparastEghbal G. MansooriPublished in: Intell. Data Anal. (2017)
Keyphrases
- high dimensional data
- classification rules
- nearest neighbor
- fuzzy rules
- high dimensional
- high dimensionality
- dimensionality reduction
- genetic programming
- membership functions
- fuzzy sets
- subspace clustering
- k nearest neighbor
- rule sets
- decision trees
- high dimensional spaces
- fuzzy logic
- low dimensional
- similarity search
- data analysis
- high dimensional datasets
- data points
- data sets
- fuzzy decision trees
- ant miner
- knn
- original data
- rule discovery
- distance function
- clustering high dimensional data
- human experts
- association rules
- text categorization
- input data
- training set
- computer vision
- genetic algorithm