Testing spatial heterogeneity in geographically weighted principal components analysis.
Javier Roca-PardiñasCelestino OrdóñezTomás R. Cotos-YáñezRubén Pérez-ÁlvarezPublished in: Int. J. Geogr. Inf. Sci. (2017)
Keyphrases
- principal components analysis
- exploratory data analysis
- linear discriminant analysis
- dimensionality reduction
- covariance matrix
- principal components
- spatial data
- spatial information
- text categorisation
- feature extraction
- spatio temporal
- spatial and temporal
- multivariate statistical analysis
- spatial distribution
- test cases
- spatial relationships
- pattern recognition
- hand geometry
- support vector machine
- special case
- spatial databases
- spatial relations
- neural network
- data sets
- high dimensional
- dimensionality reduction methods
- optimal solution
- face recognition