Hierarchical Clustering
Save
May 1, 2024
Updated May 10, 2025
21 minute read
Hierarchical clustering is a powerful unsupervised machine learning technique used to group similar data points together, creating a hierarchy or tree-like structure of clusters. Unlike other methods, it doesn't require you to specify the number of clusters beforehand; instead, it reveals the relationships between data points at various levels of granularity. This approach is particularly useful for understanding the inherent structure within your data. Imagine organizing a diverse collection of items; hierarchical clustering helps you systematically group them from individual items into broader categories, and then into even larger classifications, all based on their similarities.
Read More
Find a path to becoming a Hierarchical Clustering. Learn more at:
OpenCourser.com/topic/a2b05c/hierarchical
