Divisive Hierarchical Clustering Explained | Top-Down Approach in Unsupervised Learning
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Divisive Hierarchical Clustering Explained | Top-Down Approach in Unsupervised Learning
In this video, we break down Divisive Hierarchical Clustering (Top-Down) — one of the most important methods in unsupervised learning. You’ll learn how the top-down approach works, how clusters split step-by-step, and how it differs from agglomerative clustering. We also walk through a simple Python example using the Iris dataset to make ...
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