Research on leaf species identification based on principal component and linear discriminant analysis.
Lu ZhangYili ZhengGangliang ZhongQiang WangPublished in: Clust. Comput. (2019)
Keyphrases
- principal components
- linear discriminant analysis
- principal component analysis
- dimensionality reduction
- null space
- discriminant analysis
- dimension reduction
- principal components analysis
- face recognition
- feature extraction
- linear discriminant
- small sample size
- covariance matrix
- independent component analysis
- discriminant features
- face images
- low dimensional
- fisher criterion
- high dimensional data
- hyperplane
- discriminative information
- high dimensionality
- feature space
- pattern recognition
- independent components
- high dimensional
- unsupervised learning
- support vector machine svm
- support vector
- lower dimensional
- training data
- input space
- scatter matrices
- singular value decomposition
- feature set