Comparison of Clustering Algorithms: Fuzzy C-Means, K-Means, and DBSCAN for House Classification Based on Specifications and Price

Comparison of Clustering Algorithms: Fuzzy C-Means, K-Means, and DBSCAN for House Classification Based on Specifications and Price

This study aims to compare the performance of three clustering algorithms, namely Fuzzy C-Means, K-Means, and DBSCAN, in grouping houses based on their specifications and prices. The data used includes features such as price, building area, land area, number of bedrooms, number of bathrooms, and ava...

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Bibliographic Details
Main Authors: Dhendy Mardiansyah Putra, Ferian Fauzi Abdulloh
Format: Article
Language:English
Published: Politeknik Negeri Batam 2024-11-01
Series:Journal of Applied Informatics and Computing
Subjects:
clustering
k-means
fuzzy c-means
dbscan
housing classification
real estate analysis
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8671
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