Enhancing classification with hybrid feature selection: A multi-objective genetic algorithm for high-dimensional data.
Jonas da Silveira BohrerMárcio DornPublished in: Expert Syst. Appl. (2024)
Keyphrases
- high dimensional data
- high dimensionality
- feature selection
- dimensionality reduction
- dimension reduction
- high dimensional
- low dimensional
- small sample size
- regression problems
- nearest neighbor
- feature space
- classification accuracy
- high dimensions
- gene expression data
- text classification
- data points
- feature extraction
- machine learning
- input space
- subspace clustering
- support vector machine
- data sets
- manifold learning
- sparse representation
- support vector
- lower dimensional
- subspace learning
- high dimensional datasets
- clustering high dimensional data
- variable selection
- dimensional data
- nonlinear dimensionality reduction
- multivariate temporal data
- decision trees
- pattern recognition
- similarity search
- high dimensional spaces
- high dimensional feature spaces
- multi objective
- model selection
- dimensionality reduction methods
- text categorization
- microarray data
- support vector machine svm
- principal component analysis
- cross validation
- high dimensional data sets
- missing values
- unsupervised learning
- svm classifier
- data analysis
- microarray
- classification algorithm