PERFORMANCE COMPARISON OF K-MEDOIDS AND DENSITY BASED SPATIAL CLUSTERING OF APPLICATION WITH NOISE USING SILHOUETTE COEFFICIENT TEST

PERFORMANCE COMPARISON OF K-MEDOIDS AND DENSITY BASED SPATIAL CLUSTERING OF APPLICATION WITH NOISE USING SILHOUETTE COEFFICIENT TEST

Cluster analysis is a technique for grouping objects in a database based on their similar characteristics. The grouping results are said to be good if each cluster is homogeneous, and can be validated using the silhouette coefficient test. However, the presence of outliers in the data can affect the...

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Bibliographic Details
Main Authors: Taufiq Akbar, Georgina Maria Tinungki, Siswanto Siswanto
Format: Article
Language:English
Published: Universitas Pattimura 2023-09-01
Series:Barekeng
Subjects:
cluster analysis
dbscan
k-medoids
silhouette coefficient
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8671
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