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General AI

Clustering

Definition

An unsupervised learning technique that groups similar data points together without predefined categories.

In-Depth Explanation

Clustering algorithms find natural groupings in data based on similarity measures. K-means partitions data into K clusters, DBSCAN finds density-based clusters of arbitrary shape, and hierarchical clustering creates a tree of nested clusters. Applications include customer segmentation, anomaly detection, and data exploration.

Real-World Example

Grouping customers into segments like "budget-conscious families" and "luxury seekers" based on purchasing patterns without defining these groups in advance.

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