An Identification of the Growing Area of Longjing Tea Based on the Fisher's Discriminant Analysis with the Combination of Principal Components Analysis.
Wenshen JiaZhihong MaYubin LanWenfu WuDong WangJihua WangPublished in: Intell. Autom. Soft Comput. (2013)
Keyphrases
- discriminant analysis
- principal components analysis
- linear discriminant analysis
- fisher criterion
- linear discriminant
- feature extraction
- face recognition
- dimensionality reduction
- dimensionality reduction methods
- principal component analysis
- class separability
- high dimensional data
- factor analysis
- support vector
- support vector machine svm
- feature space
- fisher linear discriminant analysis
- covariance matrix
- multivariate statistical analysis
- null space
- support vector machine
- principal components
- discriminant projection
- computer vision
- partial least squares
- scatter matrices
- generalized linear
- kernel discriminant analysis
- fisher discriminant analysis
- discriminant subspace
- pattern recognition
- data analysis
- subspace learning
- worst case