Programming 7 - Clustering

Goal

• Learn to implement typical clustering algorithms: K-Means, Mean Shift, DBSCAN, and Hierarchical Merging.

Readings

• Chapter 19 Clustering,  Machine Learning with Python Cookbook 2nd,  Free O'Reilly Learning by FJU ID

Instructions

• Read the reading and practice all the Python codes with the IRIS dataset.

• Exercise: Use at least two datasets of Scikit-Learn real-world datasets in your exercise. Modify the Python codes to perform clustering on new data. Analyze the results of output, explain the results, and improve the results.

Report: a separate and single web page that you

• • Write the goal of this assignment

  • Explain those clustering algorithms. Explain the Scikit-Learn functions of those clusterings.

  • Explain the Python codes. Upload code output results into your report web page. Explain the results of the output results

  • Clearly explain modified code segments written by you. Give some analysis in your report.

  • Give references to this assignment (teacher's readings, your readings)

Submit the web address of your web page to Microsoft Teams.