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What is Clustering about?

Cluster analysis is a method of grouping similar data objects into clusters based on their characteristics, typically used in unsupervised learning without predefined classes. It has various applications across fields such as biology, marketing, and city planning, and can serve as a preprocessing tool for other algorithms. Different clustering approaches include partitioning, hierarchical, density-based, and grid-based methods, each with its own advantages and challenges.

Author

nakshathranambiar2004

Language

EN