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Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behaviors that are not predefined by users.
Customer segmentation analysis using K-Means, DBSCAN, and Hierarchical clustering on mall customer data. Identifies 6 distinct customer segments based on income and spending behavior for targeted marketing strategies