An extensible tool for spatial clustering

Abstract

Spatial clustering dealt with the clustering of spatial objects so that the objects with higher similarity is grouped together in a cluster. It has been applied among numerous fields with various approaches and methods. Some tools and libraries capable of doing spatial clustering analysis have been developed. However, those tools typically only implement a specific approach. In this paper, we propose a user-friendly analysis tool that can facilitate various approaches and methods to conduct spatial clustering analysis. Moreover, we take into account the extensibility factor of the analysis tool which allows integration of new algorithms to be done.