Course Outline

Introduction

Cluster Analysis for Government

  • Definition of cluster analysis
  • Types of clustering methods

Further Exploration of Cluster Analysis for Government

  • Distinction between cluster analysis and object segmentation
  • Comparison of hierarchical and non-hierarchical clustering techniques

Preparing the Development Environment for Government Use

  • Installing and configuring SAS for government operations
  • Installing and configuring R for government data analysis

Conducting Cluster Analysis with SAS for Government

  • Importing data into SAS for government projects
  • Standardizing data for consistent analysis in government applications
  • Implementing hierarchical clustering techniques in SAS for government datasets
  • Interpreting the output of cluster analysis in a government context
  • Working with K-means clustering for non-hierarchical data in government studies
  • Interpreting the results of non-hierarchical clustering in government applications

Conducting Cluster Analysis with R for Government

  • Utilizing hierarchical clustering functions in R for government data
  • Employing non-hierarchical clustering functions in R for government datasets

Summary and Conclusion for Government Use

Requirements

  • Proficiency in R programming for government applications
  • Experience with SAS software

Audience

  • Data Analysts for government agencies
 14 Hours

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