Understanding Hierarchical Clustering Theory in Unsupervised Machine Learning
Channel: Codanics
Date: 20/05/2023

#datascience 
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Video Description:
In this video, we dive into the theory behind Hierarchical Clustering, an essential technique in unsupervised machine learning. Hierarchical Clustering allows us to discover natural grouping patterns and hierarchical structures within our data.

Join us as we explore the key concepts of Hierarchical Clustering, including linkage methods, distance metrics, and dendrograms. We'll discuss how this powerful algorithm builds a hierarchy of clusters by iteratively merging or splitting data points based on their similarities or dissimilarities.

Through intuitive explanations and visual examples, you'll gain a solid understanding of how Hierarchical Clustering works and its applications in various domains, such as customer segmentation, image analysis, and more.

Whether you're a beginner or have some experience in machine learning, this video will provide you with the foundational knowledge to grasp the theory behind Hierarchical Clustering and unleash its potential in your own data analysis projects.

Join us and master the art of Hierarchical Clustering in unsupervised machine learning!

Remember to like, comment, and subscribe to our channel for more informative videos on machine learning algorithms and data analysis techniques. Happy learning!
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