Extended fuzzy C-means clustering algorithm for hotspot events in spatial analysis
International Journal of Hybrid Intelligent Systems
Hi-index | 0.00 |
Impact areas in spatial analysis are determined by using density clustering methods which have an elevated computational complexity. We propose an alternative method based on the Extended Fuzzy C-Means (EFCM) and we derive dynamic buffer areas as hypersphere volume prototypes in a GIS environment.