Instance selection and feature extraction using cuttlefish optimization algorithm and principal component analysis using decision tree.
M. SuganthiV. KarunakaranPublished in: Clust. Comput. (2019)
Keyphrases
- optimization algorithm
- instance selection
- principal component analysis
- feature extraction
- decision trees
- feature and instance selection
- multi objective
- data reduction
- nearest neighbor
- text classification
- dimensionality reduction
- classification accuracy
- feature selection
- face recognition
- optimization method
- dimension reduction
- feature space
- multi class
- linear discriminant analysis
- multiple instance learning
- supervised learning
- differential evolution
- naive bayes
- semi supervised learning
- preprocessing
- low dimensional
- singular value decomposition
- knowledge discovery and data mining
- evaluation criteria
- machine learning
- support vector machine
- objective function
- concept drift
- feature vectors
- image processing
- classification rules
- text categorization
- image classification
- pairwise
- active learning
- decision rules
- unlabeled data
- training set
- wavelet transform
- data points
- artificial bee colony