A particle swarm optimization based simultaneous learning framework for clustering and classification.
Ruochen LiuYangyang ChenLicheng JiaoYangyang LiPublished in: Pattern Recognit. (2014)
Keyphrases
- unsupervised learning
- supervised learning
- incremental learning
- particle swarm optimization
- learning algorithm
- learning process
- learning scheme
- pattern recognition
- multi category
- supervised classification
- clustering method
- machine learning
- support vector machine svm
- data sets
- reinforcement learning
- distance metric learning
- text classification
- online learning
- kernel learning
- learning systems
- decision trees
- learning problems
- unsupervised clustering
- learning mechanism
- dictionary learning
- feature selection
- clustering algorithm
- spectral clustering
- data clustering
- probabilistic model
- differential evolution
- feature extraction
- feature vectors
- prior knowledge
- image classification
- simulated annealing
- multi objective