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Clustering Techniques and Analysis Guide by jakeramsons is a document available to read on EtoBox.

What is Clustering Techniques and Analysis Guide about?

The document outlines exercises for a course on Knowledge Discovery in Databases, focusing on clustering techniques using k-Means and silhouette scores. It includes tasks such as generating artificial data, applying k-Means to the Iris dataset and Mall_Customers dataset, and performing data preprocessing. The exercises aim to enhance understanding of clustering methods and their evaluation through visualizations and statistical measures.

Author

jakeramsons

Language

EN