A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification (2019)
Attributed to:
Retail Business Datasafe
funded by
ESRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1080/10095020.2019.1621549
Publication URI: http://dx.doi.org/10.1080/10095020.2019.1621549
Type: Journal Article/Review
Parent Publication: Geo-spatial Information Science
Issue: 4