Fuzzy C-Means Lab

Goal

In this lab, we’ll learn how to use fuzzy c-means for cluster analysis, applied to the Dotalicious dataset.

Brief refresher

Fuzzy c-means extend k-Means by allowing data points to have a membership with more than one cluster. For example, a data point can have 40% membership with Cluster 1 and 60% membership with Cluster 2.

Preparation

We’ll follow the steps below to prepare the data.