Spatial Clustering with SOM and GeoSOM: Case Study of Lisbon's Metropolitan Area
Roberto Henriques, Fernando Bação, Victor J. A. S. Lobo · 2010
Clustering constitutes one of the most popular and important tasks in data analysis. The size and dimensionality of the existing geospatial databases stress the need for efficient and robust spatial clustering algorithms. In this paper we present the GeoSOM suite as a spatial clustering tool. GeoSOM suite implements the GeoSOM algorithm, which allows to perform clustering using both spatial and aspatial components from geospatial datasets. Finally, a case study is presented, based on census data from Lisbon, exploring the GeoSOM suite features and exemplifying its use in the context of exploratory data analysis.