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

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Comparative study of clustering-based outliers detection methods in circular-circular 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:	Penerbit Universiti Kebangsaan Malaysia 2021
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/35176/ http://umpir.ump.edu.my/id/eprint/35176/1/Comparative%20study%20of%20clustering-based%20outliers%20detection%20methods%20in%20circular-circular%20regression%20model.pdf

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