Fundamentals of Predictive Analytics with JMP, Second Edition

Chapter 9: Cluster Analysis

Introduction

Example Applications

An Example from the Credit Card Industry

The Need to Understand Statistics and the Business Problem

Hierarchical Clustering

Understand the Dendrogram

Understand the Methods for Calculating Distance between Clusters

Perform a Hierarchal Clustering with Complete Linkage

Examine the Results

Consider a Scree Plot to Discern the Best Number of Clusters

Apply the Principles to a Small but Rich Data Set

Consider Adding Clusters in a Regression Analysis

K-Means Clustering

Understand the Benefits and Drawbacks of the Method

Choose k and Determine the Clusters

Perform k-Means Clustering

Change the Number of Clusters

Create a Profile of the Clusters with Parallel Coordinate Plots

Perform Iterative ...