Spatiotemporal extended fuzzy C-means clustering algorithm for hotspots detection and prediction

DOI10.1016/J.FSS.2017.11.011zbMath1397.62218OpenAlexW2769754902MaRDI QIDQ1795025

Ferdinando Di Martino, Salvatore Sessa, Witold Pedrycz

Publication date: 16 October 2018

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2017.11.011

zbMATH Keywords

hotspotGISEFCMSEFCM

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Seismology (including tsunami modeling), earthquakes (86A15) Multivariate analysis and fuzziness (62H86)

Related Items (1)

Why use a fuzzy partition in F-transform?

Uses Software

• AS 136

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• A spatial scan statistic

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