Cluster Analysis on Various Cluster Validity Indexes with Average Linkage Method and Euclidean Distance (Study on Compliant Paying Behavior of Bank X Customers in Indonesia 2021)
نویسندگان
چکیده
This study aims to examine the differences in various cluster validity indexes grouping of credit customers at Bank X Malang City, Indonesia using average linkage and Euclidean distance methods. uses primary data with variables used are service quality, environment, mode, willingness pay, obedient paying behavior obtained through a questionnaire Likert scale purposive sampling distributed 100 respondents. The then analyzed by clusters ward methods on indexes, including Silhouette Index, Krzanowski-Lai, Dunn, Gap, Davies-Bouldin, Index C, Global Sillhouette, Goodman-Kruskal this as tool analysis. R software. results show that indices have same members, well Davies-Bouldin indices. best indexes. All produce variance between within cluster. novelty is compare 8 indices, namely Sillhouette simultaneously.
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ژورنال
عنوان ژورنال: Mathematics and Statistics
سال: 2022
ISSN: ['2332-2144', '2332-2071']
DOI: https://doi.org/10.13189/ms.2022.100405