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- W2769754902 abstract "Abstract We present a spatiotemporal clustering method, namely SEFCM, which is a generalization of the extended fuzzy C-Means (EFCM) method for detecting hotspots in spatial analysis. Each pattern is formed by three features: the geographical coordinates and the period in which a certain event is occurred. This method is applied to a spatial dataset (formed by earthquake epicenters occurred in Southern Italy since 2001 till to 2014) for prediction of the hotspots obtained in a given year. Comparisons of the prediction results are also made with the ones obtained by applying the known ST-DBSCAN algorithm." @default.
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- W2769754902 date "2018-06-01" @default.
- W2769754902 modified "2023-09-30" @default.
- W2769754902 title "Spatiotemporal extended fuzzy C-means clustering algorithm for hotspots detection and prediction" @default.
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- W2769754902 doi "https://doi.org/10.1016/j.fss.2017.11.011" @default.
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