Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model
Single-linkage is one of the algorithms in agglomerative clustering technique that can be used to detect outliers. The single-linkage algorithm combines two clusters with the closest pair of observations. Then, the clusters are combined into larger clusters, until all the observations are formed in...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Universiti Malaysia Pahang
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/21971/1/22.%20Single-linkage%20method%20to%20detect%20multiple%20outliers%20with%20different.pdf http://umpir.ump.edu.my/id/eprint/21971/2/22.1%20Single-linkage%20method%20to%20detect%20multiple%20outliers%20with%20different.pdf |
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| author | Siti Zanariah, Satari Nur Faraidah, Muhammad Di Roslinazairimah, Zakaria |
| author_facet | Siti Zanariah, Satari Nur Faraidah, Muhammad Di Roslinazairimah, Zakaria |
| author_sort | Siti Zanariah, Satari |
| collection | UMP |
| description | Single-linkage is one of the algorithms in agglomerative clustering technique that can be used to detect outliers. The single-linkage algorithm combines two clusters with the closest pair of observations. Then, the clusters are combined into larger clusters, until all the observations are formed in the same cluster. In this study, a single-linkage algorithm method that utilised a circular distance based on the City-block distance as the similarity distance is used. The performance of the method in detecting multiple outliers for a circular regression model is tested via simulation studies with three different outlier scenarios which are outliers in u-space only, v-space only and both uv-space. The performance is measured by calculating the “success” probability (pout), masking error (pmask) and swamping error (pswamp) for both outlier scenarios. It is found that the single linkage method performed well in detecting outliers for both outlier scenarios and applicable for circular regression model. |
| first_indexed | 2024-03-06T12:25:51Z |
| format | Conference or Workshop Item |
| id | UMPir21971 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:25:51Z |
| publishDate | 2018 |
| publisher | Universiti Malaysia Pahang |
| record_format | dspace |
| spelling | UMPir219712018-09-21T01:46:48Z http://umpir.ump.edu.my/id/eprint/21971/ Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model Siti Zanariah, Satari Nur Faraidah, Muhammad Di Roslinazairimah, Zakaria QA Mathematics Single-linkage is one of the algorithms in agglomerative clustering technique that can be used to detect outliers. The single-linkage algorithm combines two clusters with the closest pair of observations. Then, the clusters are combined into larger clusters, until all the observations are formed in the same cluster. In this study, a single-linkage algorithm method that utilised a circular distance based on the City-block distance as the similarity distance is used. The performance of the method in detecting multiple outliers for a circular regression model is tested via simulation studies with three different outlier scenarios which are outliers in u-space only, v-space only and both uv-space. The performance is measured by calculating the “success” probability (pout), masking error (pmask) and swamping error (pswamp) for both outlier scenarios. It is found that the single linkage method performed well in detecting outliers for both outlier scenarios and applicable for circular regression model. Universiti Malaysia Pahang 2018-03 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21971/1/22.%20Single-linkage%20method%20to%20detect%20multiple%20outliers%20with%20different.pdf pdf en http://umpir.ump.edu.my/id/eprint/21971/2/22.1%20Single-linkage%20method%20to%20detect%20multiple%20outliers%20with%20different.pdf Siti Zanariah, Satari and Nur Faraidah, Muhammad Di and Roslinazairimah, Zakaria (2018) Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model. In: International Conference on Science, Engineering & Technology (I-SET2018) , 2 -3 May 2018 , Convention Centre, University of Muhammadiyah (UNMUHA) Banda Aceh, Indonesia. pp. 1-7.. (Unpublished) |
| spellingShingle | QA Mathematics Siti Zanariah, Satari Nur Faraidah, Muhammad Di Roslinazairimah, Zakaria Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| title | Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| title_full | Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| title_fullStr | Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| title_full_unstemmed | Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| title_short | Single-linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| title_sort | single linkage method to detect multiple outliers with different outlier scenarios in circular regression model |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/21971/1/22.%20Single-linkage%20method%20to%20detect%20multiple%20outliers%20with%20different.pdf http://umpir.ump.edu.my/id/eprint/21971/2/22.1%20Single-linkage%20method%20to%20detect%20multiple%20outliers%20with%20different.pdf |
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