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What is Data Science CH5 about?

Cluster analysis is an unsupervised machine learning technique used to group similar objects based on their characteristics. It involves various methods such as partitioning (e.g., K-means), hierarchical, density-based, and others, each with its own advantages and disadvantages. Key properties of clustering include scalability, handling unstructured data, and interpretability of results.

Author

pacchijmp

Language

EN