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

• 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/35176/1/Comparative%20study%20of%20clustering-based%20outliers%20detection%20methods%20in%20circular-circular%20regression%20model.pdf; http://umpir.ump.edu.my/id/eprint/35176/; https://doi.org/10.17576/jsm-2021-5006-24; https://doi.org/10.17576/jsm-2021-5006-24

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...