GitHub - ThoKimHuynh/customer_segmentation: Different unsupervised machine learning algorithms such as RFM, K-means, Spectral Clustering, GMM etc are used to classify customers into different meaningful clusters of customers.

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Different unsupervised machine learning algorithms such as RFM, K-means, Spectral Clustering, GMM etc are used to classify customers into different meaningful clusters of customers.

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Name		Name	Last commit message	Last commit date
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Agglomerative_Clustering_Customer_Segmentation.jpg		Agglomerative_Clustering_Customer_Segmentation.jpg
Birch_Customer_Segmentation.jpg		Birch_Customer_Segmentation.jpg
Customer_Segmentation.ipynb		Customer_Segmentation.ipynb
Dataset Source.txt		Dataset Source.txt
GMM_Customer_Segmentation.jpg		GMM_Customer_Segmentation.jpg
Kmeans_Customer_Segmentation.jpg		Kmeans_Customer_Segmentation.jpg
RFM_Customer_Segmentation.jpg		RFM_Customer_Segmentation.jpg
Spectral_Clustering_Customer_Segmentation.jpg		Spectral_Clustering_Customer_Segmentation.jpg

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Different unsupervised machine learning algorithms such as RFM, K-means, Spectral Clustering, GMM etc are used to classify customers into different meaningful clusters of customers.

unsupervised-machine-learning unsupervised-clustering customer-segmentation

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