A Comparison Between External and Internal Cluster Validity Indices

This paper presents a comparison between external and internal cluster validity indices with a similar bounded index range. F-measure (FM) and Fowlkes-Mallows (FMI) of external validity indices, as well as Silhouette (SIL) of internal validity index, were chosen for this comparative analysis. Ten nu...

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Bibliographic Details
Main Authors: Ismail, Khairul Nurmazianna, Seman, Ali, Abu Samah, Khyrina Airin Fariza
Format: Conference Proceeding
Language:English
Subjects:
cluster validity
Clustering
Clustering algorithms
Conferences
Correlation
external cluster validation
Frequency modulation
Glass
internal cluster validation
Iris
Liver
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Summary:This paper presents a comparison between external and internal cluster validity indices with a similar bounded index range. F-measure (FM) and Fowlkes-Mallows (FMI) of external validity indices, as well as Silhouette (SIL) of internal validity index, were chosen for this comparative analysis. Ten numerical data sets, namely Haberman, BUPA (liver disorder), Wisconsin Diagnostic Breast Cancer (WDBC), Iris, Seeds, Wine, User Knowledge, Cleveland, Segmentation, and Glass, were deployed to benchmark the clustering outcomes based on Fuzzy C-Mean (FCM) algorithm. Mean, minimum, and maximum scores were calculated to determine the similarities and differences among the indices. Pearson correlation was reported as well. As a result, the index scores displayed a slight difference between the external and internal validity indices. A moderate and positive correlation was noted between the external and internal validity index (r=. 66, r=.65 p
ISSN:2470-640X
DOI:10.1109/ICSET53708.2021.9612525