The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS-Reference-Cited by-同舟云学术

The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS

Published:2011-09 Issue:9 Volume:38 Page:11829-11836
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Di Martino Ferdinando,Sessa Salvatore

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference11 articles.

1. Pattern recognition with fuzzy objective function algorithms;Bezdek,1981

2. When is a hotspot a hotspot? A procedure for creating statistically robust hotspot geographic maps of crime;Chainey,2002

3. Extended fuzzy c-means clustering algorithm for hotspot events in spatial analysis;Di Martino;International Journal of Hybrid Intelligent Systems,2007

4. Implementation of the extended fuzzy C-means algorithm in geographic information systems;Di Martino;Journal of Uncertain Systems,2009

5. Grubesic, T. H., & Murray, A. T. (2001). Detecting hotspots using cluster analysis and GIS. In Annual conference of CMRC, Dallas. .

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