• Recipe 014: Smash Brothers Main Selection

    In this recipe I’d like you to chow down on a Smash Brother analytical approach to selecting your main character.  The approach I’m going to introduce you puts an emphasis on what makes a character unique.   Before I start diving into the Smash Brothers data, let’s discuss the k-means clustering approach.  A k-means helps […]


  • Recipe: 001 Pokémon Go K-Means Clustering Segmentation

    Here’s a treat for all the Pokémon Go players out there.  You’ll find below a recipe for a cluster analysis intended to guide you in building the most cost effective team of Pokémon. The goal of this recipe is to segment Kanto (GEN 1) Pokémon which can be found in the wild, with an emphasis […]