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What is Cluster Analysis: Techniques and Applications about?

Cluster analysis is an unsupervised learning technique that groups similar data objects into clusters based on their characteristics. It has applications in various fields such as pattern recognition, spatial data analysis, and market research. The quality of clustering is determined by the similarity measures used and the ability to uncover hidden patterns within the data.

Author

ghashian135

Language

EN