The Multiple Outliers Detection using Agglomerative Hierarchical Methods in Circular Regression Model

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The Multiple Outliers Detection using Agglomerative Hierarchical Methods in Circular Regression Model

Two agglomerative hierarchical clustering algorithms for identifying multiple outliers in circular regression model have been developed in this study. The agglomerative hierarchical clustering algorithm starts with every single data in a single cluster and it continues to merge with the closest pair...

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Bibliographic Details
Main Authors:	Siti Zanariah, Satari, Nur Faraidah, Muhammad Di, Roslinazairimah, Zakaria
Format:	Article
Language:	English
Published:	IOP Publishing 2017
Subjects:	Q Science (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/18916/ http://umpir.ump.edu.my/id/eprint/18916/1/The%20Multiple%20Outliers%20Detection%20using%20Agglomerative%20Hierarchical%20Methods%20in%20Circular%20Regression%20Model.pdf

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