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What is Clustering Techniques in Business Analytics about?

This document discusses clustering techniques as a form of unsupervised learning aimed at grouping similar observations into clusters. It outlines various clustering methods, including partitioning, hierarchical, density-based, model-based, and grid-based approaches, along with their applications in business analytics such as customer segmentation and anomaly detection. The document emphasizes the importance of criteria for effective clustering, including similarity measures, scalability, and cluster interp

Author

sahilkauts112

Language

EN