Visualize Clustering with SOM in Anatella / R Note: The data is extracted from Marketing Engineering, with the kind permission of Dr A. De Bruyn. A very complete R code for SOM can be found in the excellent post of Shane Lynn http://www.shanelynn.ie/self-organising-maps-for-customer-segmentation-using-r/ Clustering is a tricky business. while the hardest part of it lies

Of the utility of the TEST dataset Let’s assume that we want to create a ranking (or a “list of candidates”) for a marketing campaign using predictive technique. Let’s give a practical and real example. Let’s assume that we are end of 2009 and you are selling a “GPS device” (like Garmin or TomTom). You

Classification problems: lift curve or classification table? The common idea of classifying is to look at “small groups” of records, and evaluate if we should put them a 1 or a 0 when it comes to a particular target. For example, if I am interested in figuring out who will get cancer, I can “build”

Not all lifts are born equal Let’s return to the same example as for the previous section about “CRM tools”. Let’s assume that you want to do a direct-mail marketing campaign for one of your product. You must find all the customers that are susceptible to buy your product and send them a brochure or