Using geovisual analytics to compare the performance of geographically weighted discriminant analysis versus its global counterpart, linear discriminant analysis.
Peter FoleyUrska DemsarPublished in: Int. J. Geogr. Inf. Sci. (2013)
Keyphrases
- discriminant analysis
- linear discriminant analysis
- face recognition
- dimensionality reduction
- principal component analysis
- feature extraction
- dimension reduction
- feature space
- fisher criterion
- small sample size
- fisher discriminant analysis
- support vector machine svm
- support vector
- null space
- high dimensional data
- subspace projection
- kernel discriminant analysis
- class separability
- linear discriminant
- principal components analysis
- subspace methods
- data sets
- discriminant projection
- dimensionality reduction methods
- partial least squares
- pattern recognition
- face verification
- data points
- feature vectors
- data analysis
- neural network