Spatial Data Mining using PCA

Abstract

Spatial Data Mining is location based Data Mining. This paper shows the basic concept of PCA with its practical implementation in
ArcGIS. This paper shows the process to calculate principal components from the GIS Image. This paper explores some of the basics of
Principal Component Analysis. This paper also demonstrates its advantages.

Keywords: Geographic information systems, Principal Component Analysis, Data Mining, Spatial Data Mining.