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What is Agglomerative Clustering in Python about?
Hierarchical clustering is an unsupervised learning technique used to group similar objects into clusters, creating a hierarchy through merging or splitting based on similarity measures. The article discusses the two main types of hierarchical clustering: agglomerative and divisive, and explains the steps to perform hierarchical clustering, including creating a proximity matrix and using a dendrogram to determine the number of clusters. Additionally, it highlights the application of hierarchical clustering
- Author
- RAMU NAIK
- Language
- EN