RWTH Aachen University
In this paper, a novel clustering algorithm is proposed to address the clustering problem within both spatial and non-spatial domains by employing a fusion-based approach. This paper is to overcome the limitations of the existing spatial clustering methods. In most conventional spatial clustering algorithms, the similarity measurement mainly takes the geometric attributes into consideration. However, in many real applications, there is a need to fuse the information from both the spatial and the non-spatial attributes.