A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique

Basic human needs include a house that serves as a place to live and a shelter from everything. In Indonesia, owning a house is still a challenging aspect due to its high price. Information on house prices is needed for prospective buyers or consumers, so that buyers can adjust their needs and finan...

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Bibliographic Details
Main Authors: Vicka Rizqi Maulani, Mula Agung Barata, Pelangi Eka Yuwita
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-06-01
Series:Journal of Applied Informatics and Computing
Subjects:
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9481
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