The Data Dimensionality Reduction and Features Weighting in the Classification Process Using Forest Optimization Algorithm.
Daniel KostrzewaRobert BrzeskiPublished in: ACIIDS (Extended Posters) (2019)
Keyphrases
- optimization algorithm
- classification process
- data sets
- multi objective
- data analysis
- data sources
- dimensionality reduction
- data collection
- dimensionality reduction methods
- high dimensional data
- data points
- differential evolution
- global optima
- multi objective optimization
- feature subset
- particle swarm optimization pso
- high dimensionality
- feature set
- recommender systems
- feature extraction
- decision making
- neural network