Nonlinear classification, linear clustering, evolutionary semi-supervised three-way decisions: A comparison.
Matt TriffGlavin WiechertPawan LingrasPublished in: FUZZ-IEEE (2017)
Keyphrases
- semi supervised
- unsupervised learning
- supervised learning
- unsupervised clustering
- clustering analysis
- clustering algorithm
- supervised classification
- k means
- high dimensionality
- unsupervised classification
- semi supervised classification
- linear systems
- text classification
- semi supervised clustering
- classification accuracy
- pattern recognition
- support vector
- machine learning
- genetic algorithm
- multi view
- semi supervised learning
- simple linear
- clustering method
- class labels
- label information
- constrained clustering
- instance level constraints
- unlabeled samples
- labeled and unlabeled data
- semi supervised learning algorithms
- spectral clustering
- image classification
- feature space
- feature extraction
- decision trees
- pairwise constraints
- self organizing maps
- high dimensional data
- nonlinear models
- training samples
- decision makers
- feature set
- kernel principal component analysis
- pairwise
- evolutionary clustering