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Extended Fuzzy C-Means hotspot detection method for large and very large event datasets

机译:大型和非常大的事件数据集的扩展模糊C均值热点检测方法

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摘要

We present a hotspot detection method based on the Extended Fuzzy C-Means (EFCM) algorithm for large (L) and very large (VL) datasets of events. Extensions of four VL-FCM algorithms are presented. We test our method applying these algorithms to an L dataset composed from the epicenters of earthquakes happened in Italy since 1970. Comparison have been made with respect to the results obtained by applying the EFCM algorithm on the whole event dataset and two indices are used for measuring the performances of the, algorithms proposed. (C) 2018 Elsevier Inc. All rights reserved
机译:我们介绍了一种基于大(L)和非常大(VL)数据集的扩展模糊C型(EFCM)算法的热点检测方法。 提出了四种VL-FCM算法的扩展。 我们测试了自1970年以来,将这些算法将这些算法应用于从地震震中的L数据集。已经通过在整个事件数据集上应用EFCM算法而获得的结果进行了比较,并且两个指数用于测量 提出的算法的性能。 (c)2018 Elsevier Inc.保留所有权利

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