Information preserving multi-objective feature selection for unsupervised learning.
Ingo MierswaMichael WurstPublished in: GECCO (2006)
Keyphrases
- unsupervised learning
- information preserving
- multi objective
- feature selection
- evolutionary algorithm
- multi objective optimization
- supervised and unsupervised learning
- optimization algorithm
- multiple objectives
- machine learning
- multiobjective optimization
- text classification
- supervised feature selection
- dimensionality reduction
- particle swarm optimization
- supervised learning
- model selection
- genetic algorithm
- objective function
- deep learning
- nsga ii
- bi objective
- semi supervised
- object recognition
- multi objective optimization problems
- conflicting objectives
- multi objective evolutionary algorithms
- expectation maximization
- text categorization
- mutual information
- information gain
- knn
- unsupervised feature selection
- minimum message length
- multi objective evolutionary
- training data
- feature extraction
- learning algorithm
- feature set
- neural network