The effect of different similarity distance measures in detecting outliers using single-linkage clustering algorithm for univariate circular biological data

The effect of different similarity distance measures in detecting outliers using single-linkage clustering algorithm for univariate circular biological data

Clustering algorithms can be used to create an outlier detection procedure in univariate circular data. The circular distance between each point of angular observation in circular data is used to calculate the similarity measure to appropriately group observations. In this paper, we present a cluste...

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Bibliographic Details
Main Authors: Nur Syahirah, Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Format: Article
Language:English
Published: PJSOR
Subjects:
HA Statistics
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/35453/1/Zulkipli%20et%20al.%20PJSOR.pdf
http://umpir.ump.edu.my/id/eprint/35453/
http://dx.doi.org/10.18187/pjsor.v18i3.3982
http://dx.doi.org/10.18187/pjsor.v18i3.3982
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Institution: Universiti Malaysia Pahang
Language: English

Internet

http://umpir.ump.edu.my/id/eprint/35453/1/Zulkipli%20et%20al.%20PJSOR.pdf
http://umpir.ump.edu.my/id/eprint/35453/
http://dx.doi.org/10.18187/pjsor.v18i3.3982
http://dx.doi.org/10.18187/pjsor.v18i3.3982

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