In this experiment, we perform customer segmentation of wholesale customers.
Inputs The wholesale customers data is available on the UCI Machine Learning Repository. The dataset contains eight columns and contains information on the customers of a wholesale distributor, operating in different regions. The columns include annual spending on fresh milk, grocery, frozen goods, detergents, paper and delicatessen products. Outputs Customer Segmentation Model for Wholesale data More details on the model are available in the book: [Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes](http://www.amazon.com/dp/1484204468) Created by a Microsoft Employee