Comparative study of clustering-based outliers detection methods in circularcircular regression model

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Comparative study of clustering-based outliers detection methods in circularcircular regression model

This paper is a comparative study of several algorithms for detecting multiple outliers in circular-circular regression model based on the clustering algorithms. Three measures of similarity based on the circular distance were used to obtain a cluster tree using the agglomerative hierarchical method...

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Bibliographic Details
Main Authors:	Siti Zanariah, Satari, Nur Faraidah, Muhammad Di, Yong Zulina, Zubairi, Abdul Ghapor, Hussin
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2021
Subjects:	HA Statistics QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/31673/ http://umpir.ump.edu.my/id/eprint/31673/1/2021%20Satari%20et%20al%20Sainsmalaysiana.pdf

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