Fundamentals of Predictive Analytics with JMP, Second Edition

Chapter 11: k-Nearest Neighbors

Introduction

Example—Age and Income as Correlates of Purchase

The Way That JMP Resolves Ties

The Need to Standardize Units of Measurement

k-Nearest Neighbors Analysis

Perform the Analysis

Make Predictions for New Data

k-Nearest Neighbor for Multiclass Problems

Understand the Variables

Perform the Analysis and Examine Results

The k-Nearest Neighbor Regression Models

Perform a Linear Regression as a Basis for Comparison

Apply the k-Nearest Neighbors Technique

Compare the Two Methods

Make Predictions for New Data

Limitations and Drawbacks of the Technique

Exercises

Introduction

The k-nearest neighbors algorithm is a simple and powerful method that can be used either for classification or for regression and is one ...