A Principal Component Analysis (PCA)-based framework for automated variable selection in geodemographic classification
نویسندگان
چکیده
منابع مشابه
Variable Selection and Principal Component Analysis
In most of applied disciplines, many variables are sometimes measured on each individual, which result a huge data set consisting of large number of variables, say p [Sharma (1996)]. Using this collected data set in any statistical analysis may cause several troubles. The dimensionality of the data set can often be reduced, without disturbing the main features of the whole data set by Principal...
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ژورنال
عنوان ژورنال: Geo-spatial Information Science
سال: 2019
ISSN: 1009-5020,1993-5153
DOI: 10.1080/10095020.2019.1621549