Clustering by Partitioning around Medoids using Distance-Based Similarity Measures on Interval-Scaled Variables

Clustering by Partitioning around Medoids using Distance-Based Similarity Measures on Interval-Scaled Variables

It is reported in this paper, the results of a study of the partitioning around medoids (PAM) clustering algorithm applied to four datasets, both standardized and not, and of varying sizes and numbers of clusters. The angular distance proximity measure in addition to the two more traditional proximi...

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Bibliographic Details
Main Author: D. L. Nkweteyim
Format: Article
Language:English
Published: Faculty of Engineering and Technology 2018-03-01
Series:Nigerian Journal of Technological Development
Subjects:
PAM
Euclidean
Manhattan
Angular distance
Online Access:http://njtd.com.ng/index.php/njtd/article/view/127/96

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