Solving dimension reduction problems for classification using Promoted Crow Search Algorithm (PCSA).
Behrouz SamieiyanPoorya MohammadiNasabMostafa Abbas MollaeiFahimeh HajizadehMohammadreza KangavariPublished in: Computing (2022)
Keyphrases
- dimension reduction
- high dimensionality
- data mining and machine learning
- high dimensional problems
- search algorithm
- feature extraction
- high dimensional data analysis
- feature space
- high dimensional
- small sample size
- principal component analysis
- discriminative information
- high dimensional data
- unsupervised learning
- manifold learning
- linear discriminant analysis
- dimensionality reduction
- decision trees
- singular value decomposition
- feature selection
- low dimensional
- random projections
- feature subspace
- principle component analysis
- support vector machine svm
- variable selection
- neural network
- bayesian networks
- text mining
- least squares
- nearest neighbor
- pattern recognition
- support vector
- scatter matrices
- dimension reduction methods
- machine learning