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Ex 16 by belcy is a document available to read on EtoBox.

The document outlines a step-by-step guide for implementing K-Means clustering on a dataset of loan applicants. It includes defining the problem, loading the dataset, selecting features, preprocessing data, building the model, evaluating it using silhouette score, and performing a performance analysis with visualizations. The final output shows a silhouette score of approximately 0.673, indicating the quality of clustering.

Author
belcy
Language
EN