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Penerapan Algoritma K-Medoids Untuk Menentukan Segmentasi Pelanggan

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References

2018RFM ranking – An effective approach to customer segmentation214 cited
2010A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business82 cited
2018Customer Segmentation in XYZ Bank Using K-Means and K-Medoids Clustering73 cited
2020Customer Segmentation Based on RFM Model Using K-Means, K-Medoids, and DBSCAN Methods52 cited
2018ANALISIS SEGMENTASI PELANGGAN MENGGUNAKAN KOMBINASI RFM MODEL DAN TEKNIK CLUSTERING44 cited

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2024Comparison of K-Medoids and K-Means Algorithms in Segmenting Customers based on RFM Criteria11 cited

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