Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant analysis.
Surbhi VijhHari Mohan PandeyPrashant GauravPublished in: Neural Comput. Appl. (2023)
Keyphrases
- optimization algorithm
- linear discriminant analysis
- discriminant analysis
- locality preserving projections
- brain tumor segmentation
- multi objective
- face recognition
- principal component analysis
- dimensionality reduction
- optimization method
- discriminant features
- feature extraction
- null space
- differential evolution
- dimension reduction
- support vector machine svm
- support vector
- feature space
- small sample size
- fisher criterion
- high dimensional data
- graph embedding
- subspace methods
- evolutionary algorithm
- discriminant information
- vector space
- hybrid optimization algorithm
- evolutionary multi objective
- magnetic resonance images
- kernel pca
- discriminative information
- scatter matrix
- computer vision
- feature selection
- independent component analysis
- fuzzy rules
- high dimensional