Modified Genetic Algorithm (MGA) based feature selection with Mean Weighted Least Squares Twin Support Vector Machine (MW-LSTSVM) approach for vegetation classification.
V. Shenbaga PriyaD. RamyachitraPublished in: Clust. Comput. (2019)
Keyphrases
- support vector machine
- feature selection
- support vector
- genetic algorithm
- weighted least squares
- svm classifier
- classification accuracy
- feature space
- machine learning
- feature vectors
- support vector machine svm
- text classification
- feature extraction
- least squares
- decision boundary
- feature set
- training set
- model selection
- kernel function
- neural network
- training process
- kernel methods
- knn
- unsupervised learning
- decision trees
- missing data
- cross validation
- learning algorithm
- dimensionality reduction
- training algorithm
- data sets
- artificial neural networks