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image for course Cluster Analysis with Machine Learning

Cluster Analysis with Machine Learning

Group data based on similar characteristics by applying clustering methods. Evaluate and interpret the clusters using visualizations.

Course modules

Introduction

Get an overview of the course.

Lessons:
  • Course Overview
  • Course Example

Low Dimensional Visualization

Visualize data in fewer dimensions.

Lessons:
  • Overview of Low Dimensional Visualization
  • Use PCA for Low Dimensional Visualization
  • Quick Reference

k-Means Clustering

Group data using k-mean clustering.

Lessons:
  • Overview of k-Means Clustering
  • Use k-Means Clustering
  • Quick Reference

Visualize Observations in Clusters

Visualize observations in clusters with parallel coordinates plots.

Lessons:
  • Visualize Observations in Clusters
  • Use Parallel Coordinates
  • Quick Reference

Hierarchical Clustering

Group data using hierarchical clustering.

Lessons:
  • Overview of Hierarchical Clustering
  • Use Hierarchical Clustering
  • Quick Reference

Gaussian Mixture Models

Group data using Gaussian mixture models.

Lessons:
  • Overview of Gaussian Mixture Models
  • Use Gaussian Mixture Models
  • Quick Reference

Cluster Evaluation

Evaluate clusters with silhouette plots.

Lessons:
  • Overview of Cluster Evaluation
  • Evaluate Clusters

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

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  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

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