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Updated: Jun 18, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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一种新的基于概率密度函数的基于可能性的聚类方法,及其用于检测异常元素的应用

Hung Tran-Nam1,2, Thao Nguyen-Trang1,2, Ha Che-Ngoc3

  • 1Laboratory for Applied and Industrial Mathematics, Institute for Computational Science and Artificial Intelligence, Van Lang University, Ho Chi Minh City, Vietnam.

Scientific reports
|August 1, 2024
PubMed
概括

本研究引入了一种新的概率密度函数 (PDF) 的可能性集群方法,以检测大数据中的异常. 该方法在基准数据上实现了100%的准确性,在图像数据上实现了高性能,超过了现有的算法.

关键词:
检测异常的情况.图像提取 图像提取有可能的集群聚类.概率密度函数是一个概率密度函数.没有监督的学习学习.

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