An adaptive affinity matrix optimization for locality preserving projection via heuristic methods for hyperspectral image analysis

Keyphrases

• 1NN Classification 25%
• Affinity Matrix 100%
• Art Features 25%
• Classification Accuracy 25%
• Dimensionality Reduction 25%
• Embedded Test 25%
• Embedding Quality 25%
• Feature Selection 25%
• Feature Selection Methods 25%
• Generalized Heat Kernel 75%
• Genetic Algorithm 50%
• Graph Affinity 50%
• Grid Search 25%
• Harmony Search 50%
• Heat Kernel 50%
• Heuristic Method 100%
• Hyperspectral 25%
• Hyperspectral Image Analysis 100%
• Isotropic Kernels 50%
• K-nearest 25%
• Kernel Bandwidth 75%
• Kernel Parameter 25%
• Locality Preserving 25%
• Locality Preserving Projection 100%
• Low-dimensional Space 25%
• Matrix Optimization 100%
• Number of Features 25%
• Number of Parameters 25%
• Particle Swarm Optimization 50%
• Projection Matrix 25%
• Reduction Tool 25%
• Two-parameter 50%

Computer Science

• Affinity Matrix 100%
• Classification Accuracy 25%
• Dimensionality Reduction 25%
• Feature Extraction 25%
• Feature Selection 50%
• Genetic Algorithm 50%
• Harmony Search 50%
• Heuristic Method 100%
• Hyperspectral Image 100%
• Image Analysis 100%
• Kernel Parameter 25%
• locality preserving projection 100%
• Lower Dimensional Space 25%
• Particle Swarm Optimization 50%
• Projection Matrix 25%