International Journal of Electrical Engineering and Computer Science
E-ISSN: 2769-2507
Volume 3, 2021
Cluster Analysis in Various Cluster Validity Indexes With Average Linkage Method At Various Distance (Study on Compliant Paying Behavior of Bank X Customers in Indonesia 2021)
Authors: ,
Abstract: This study aims to examine and explain the differences in the use of various cluster validity indices and various distances in the application of KPR Bank X Indonesia customer grouping using the average linkage method. The data used in this study are primary. The variables used in this study are as follows: service quality, environment, fashion, willingness to pay, and obedient behavior to pay at Bank X. Data obtained through a questionnaire with a Likert scale. Measurement of variables in primary data using the average score of each item. The sampling technique used was purposive sampling. The object of observation is the customer as many as 100 respondents. Data analysis was performed quantitatively, cluster analysis was carried out using the average linkage method and Euclidean, Manhattan, and Minkowski distances on various cluster validity indices, including Gap Index, Index C, Global Sillhouette, and Goodman-Kruskal in this study used as analysis tools. This research uses R software. The results show that the Gap index, C-Index, Global Sillhouette, and Goodman-Kruskal at the same distance have the same cluster members, but at different distances produce different clusters. The novelty in this study is to compare 4 validity indices at various distance types were Euclidean, Manhattan, and Minkowski.
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Pages: 61-68
International Journal of Electrical Engineering and Computer Science, E-ISSN: 2769-2507, Volume 3, 2021, Art. #10