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Clustering is an unsupervised learning technique that groups similar data points based on characteristics, with applications in market segmentation and anomaly detection. Key clustering algorithms include partitioning methods like K-Means, hierarchical clustering, and density-based methods, with various distance measures such as Euclidean and Manhattan used to assess similarity. Additionally, association rule mining, particularly through the Apriori algorithm, identifies relationships between items in datas

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zonegamet1234

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EN