Hierarchical Clustering | Distance Between Clusters

Hierarchical Clustering | Distance Between Clusters Looking to learn more about Hierarchical Clustering? Hierarchical clustering is a method of cluster analysis that builds a hierarchy of clusters. It creates a tree-like structure of clusters, where each cluster is connected to two or more descendant clusters in the hierarchy. It is of two types: Agglomerative, which starts with individual observations and merges them together, and Divisive, which begins with the whole dataset and splits it into multiple clusters. Course Link HERE: https://sds.courses/machine-learning-az You can find us also here: Website: https://www.superdatascience.com/ Facebook: https://www.facebook.com/groups/superdatascience Twitter: https://twitter.com/superdatasci Linkedin: https://www.linkedin.com/company/superdatascience/ Contact us at: [email protected] #HierarchicalClustering #supermachinelearning