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.

A matlab implementation for the unsupervised learning algorithm ( K-Means).

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

Customer Segmentation Report for Arvato Financial Solutions

Customer segmentation using K-Means clustering to identify actionable customer groups (Premium, Budget, High Spenders, New) for targeted marketing strategies.