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  Clustering Information Clustering is a type of unsupervised learning technique used to group together similar objects in a dataset. The goal of clustering is to minimize the intra-cluster distance while maximizing the inter-cluster distance. The most common clustering algorithms include K-Means, Hierarchical, DBSCAN, and Gaussian Mixture Models. K-Means clustering divides the dataset into k distinct groups.. Zettelkasten/Terminology Information 2023. 4. 1.