Siswanto, Muhammad Dafana (2024) Pengaruh Normalisasi Skala Fitur Pada Pengelompokan Data Terhadap Efisiensi Dan Efektivitas Menggunakan Metode Clustering. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

The advancement and introduction of computing technology has proven to be very effective and resulted in the production of large amounts of data to be analyzed (Wang Haoxiang, 2021). Proper data and careful analysis of such data is essential in efficient and effective decision-making. One of the important techniques in data processing is the clustering method, which allows to group data into clusters based on certain characteristics or features. Clustering is an important tool in data mining research and applications. Clustering is an active research subject in many fields of study, such as computer science, data science, statistics, pattern recognition, artificial intelligence, and machine learning (Ezugwu, 2022).

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