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What is MAL Unit 5 about?

This document covers unsupervised learning techniques, focusing on clustering methods such as K-Means and Hierarchical Clustering, along with their definitions, advantages, and disadvantages. It also discusses the importance of dimensionality reduction and introduces Principal Component Analysis (PCA) as a key method for reducing dimensions while preserving data characteristics. Applications of clustering in various fields, including healthcare and marketing, are highlighted, emphasizing its role in data an

Author

pramodkhandekar830

Language

EN