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What is Clustering and Association in ML about?

The document provides an overview of clustering in machine learning, explaining it as an unsupervised learning method that groups similar data points. It outlines various applications of clustering across fields such as marketing, biology, and finance, as well as methods like K-Means and Hierarchical Clustering. Additionally, it introduces association rule learning, highlighting its importance in discovering relationships between variables, particularly in market basket analysis.

Author

Satwik Saxena

Language

EN