Unsupervised Analytics: Horizon Cruises Customer Segmentation using Orange

This technical note introduces unsupervised analytics, focusing on customer segmentation using clustering techniques. It guides readers through the k-means algorithm implementation in Orange, a visual programming environment. The note covers measuring customer similarity, visualizing clusters, and evaluating segmentation quality. Practical examples and appendices provide deeper insights into distance calculations and cluster optimization methods.