BPNN, K-means, K-medoids
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Jun 28, 2024 - Jupyter Notebook
#
davies-bouldin-score
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Final project of the International Master in Data Science in which our team develop marketing strategies for a fashion retail company targeted at specific customer segments and provide them with customized offers. The segmentation was done by employing RFM analysis in conjunction with unsupervised clustering algorithms.
exploratory-data-analysis kmeans-clustering customer-segmentation rfm-analysis silhouette-score davies-bouldin-score clv-analysis
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Jan 28, 2025 - Jupyter Notebook
Customer-Segmentation---Purchasing-Behavior
python behavior marketing clustering numpy sklearn plotly pandas seaborn segmentation purchase customer kmeans-clustering calinski-harabaz-score matplotlib-pyplot yellowbrick sklearn-metrics silhouette-score davies-bouldin-score
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May 20, 2024 - Jupyter Notebook
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Oct 24, 2023 - 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.
python clustering kmeans-clustering robustness normalized-mutual-info calinski-harabaz-score silhouette-score davies-bouldin-score
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Oct 4, 2024 - Jupyter Notebook
Unsupervised machine learning
python eda data-visualization pca-analysis hierarchical-clustering unsupervised-machine-learning k-means-clustering calinski-harabaz-score silhouette-analysis davies-bouldin-score
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Oct 24, 2023 - 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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