About this document
P5 Practical - Docx 20260416 112758 0000 by shehzadchouhan260 is a document available to read on EtoBox.
The document outlines a practical exercise to apply the EM algorithm and K-Means clustering on a dataset from a CSV file. It includes steps for data loading, feature scaling, clustering, evaluation using silhouette scores, and visualization of results. The comparison highlights that K-Means provides hard clustering while EM offers soft clustering, with EM generally performing better on complex datasets.
- Author
- shehzadchouhan260
- Language
- EN