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Cluster analysis is the process of grouping data objects into clusters based on their similarities, with applications in various fields such as marketing, spatial data analysis, and image processing. Good clustering methods produce high intra-class similarity and low inter-class similarity, while also being scalable and able to handle different types of data. Major clustering methods include partitioning algorithms like k-means and k-medoids, hierarchical algorithms, density-based methods, and model-based a

Author

rama krishna

Language

EN