Clustering
Clustering is an unsupervised machine learning technique used to group similar data points together without any prior labels. It identifies inherent patterns and structures within a dataset by partitioning data into clusters where points within a cluster are more similar to each other than to those in other clusters. Algorithms like K-Means or hierarchical clustering are commonly used for this purpose.
Clustering is like sorting a mixed pile of toys into separate bins based on their type, even if no one told you what the types were beforehand.
Clustering helps discover hidden groupings and relationships in data, enabling insights for customer segmentation, anomaly detection, document organization, and scientific discovery.
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