Literature Review : Implementasi Algoritma K-Means Clustering Dalam Berbagai Sektor
Keywords:
Implementasi K-Means Clustering, Machine Learning, Pengambilan KeputusanAbstract
K-Means Clustering is a crucial machine learning algorithm that plays a significant role in modern data analysis and information processing. This research aims to examine the application of K-Means Clustering through a systematic review of scientific journals. The literature study explores the implementation of K-Means in four different fields: public health, education, marketing, and agriculture. The research methodology employed a comparative analysis of published journals, focusing on methodologies, results, and practical implications of clustering algorithm usage. The findings demonstrate that K-Means possesses high flexibility in identifying patterns and supporting cross-domain decision-making processes.
References
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