davies-bouldin-score
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Customer-Segmentation---Purchasing-Behavior
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May 20, 2024 - Jupyter Notebook
A comparative study of K-centroid clustering algorithms, including KMeans, CustomKMeans, Fermat-Weber KMedians, and Weiszfeld KMedians, highlighting their performance on separated and non-separated datasets.
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Oct 4, 2024 - Jupyter Notebook
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Oct 24, 2023 - Jupyter Notebook
Unsupervised machine learning
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Oct 24, 2023 - Jupyter Notebook
BPNN, K-means, K-medoids
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Jun 28, 2024 - Jupyter Notebook
Clustered behavioral data into two groups, regardless of gender, and evaluated cluster consistency with gender division using silhouette and Davies-Bouldin scores. Additionally, identified the optimal cluster count using the elbow method and re-evaluated clustering efficacy.
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Dec 9, 2023 - Jupyter Notebook
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