Innovative Landslide Susceptibility Mapping Portrayed by CA-AQD and K-Means Clustering Algorithms

This study aims at proposing and designing an improved clustering algorithm for assessing landslide susceptibility using an integration of a Chameleon algorithm and an adaptive quadratic distance (CA-AQD algorithm). It targets improving the prediction capacity of clustering algorithms in landslide s...

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Bibliographic Details
Main Authors: Mao Yimin, Li Yican, Deborah Simon Mwakapesa, Wang Genglong, Yaser Ahangari Nanehkaran, Muhammad Asim Khan, Zhang Maosheng
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/8846779