Cluster Analysis with R and SAS

• Experience with R programming
• SAS experience

Audience

• Data Analysts

R is a programming language and software environment for statistical computing. SAS is a statistical software platform for predictive analysis, data management, advanced analytics, and more. With R in SAS, users can find natural groups of data for cluster analysis that are essential to data mining.

This instructor-led, live training (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

By the end of this training, participants will be able to:

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

Cluster Analysis

• What is cluster analysis?
• Types of cluster types

Cluster Analysis Continued

• Cluster analysis vs object segmentation
• Hierarchical vs non-hierarchical clustering

Preparing the Development Environment

• Installing and configuring SAS
• Installing and configuring R

Cluster Analysis with SAS

• Importing data
• Standardizing data
• Implementing hierarchical clustering
• Interpretting output
• Working with K means clustering for non-hierarchical
• Interpretting output

Cluster Analysis with R

• Using hierarchical clustering functions
• Working with non-hierarchical clustering functions

Summary and Conclusion