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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/18916/ http://umpir.ump.edu.my/id/eprint/18916/ 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 |
Internet
http://umpir.ump.edu.my/id/eprint/18916/http://umpir.ump.edu.my/id/eprint/18916/
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