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What is Clustering Techniques for Data Science about?

This document serves as a refresher on clustering techniques, outlining the importance of clustering in data analysis and marketing strategies. It discusses various clustering methods, including hierarchical and k-means clustering, and emphasizes the significance of distance measures in the clustering process. The document also highlights the unsupervised nature of clustering and the objective of forming homogeneous groups from heterogeneous data.

Author

nilashish sarkar

Language

EN