Hierarchical Clustering: Create Dendrograms and Detect Clusters like a Pro with Python!
Clustering, or the detection of underlying patterns that are found naturally within a data set, is one of the most relevant sub-areas of unsupervised machine learning. This video explains step by step how to detect clusters using Hierarchical Clustering (also known as Agglomerative Clustering).
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To cite this educational resource, use the following reference:
Gutiérrez-García, J.O. [Machine Code]. (2025, February 10). Hierarchical Clustering: Create Dendrograms and Detect Clusters like a Pro with Python! [Video]. YouTube. [Include the video URL here].
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Video Index:
0:00 Introduction
0:37 Intro to hierarchical clustering
2:00 Cosine Similarity and Similarity Matrix
8:00 Euclidean Distance Matrix
13:51 Creating clusters incrementally
24:11 Dendrogram
29:01 Distances to determine clusters and the dendrogram
30:25 Hierarchical clustering with Python
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