Artificial Intelligence · Machine Learning Foundations

Clustering Methods

A topic within Machine Learning Foundations, itself one of 15 topics in that field and part of Artificial Intelligence.

Reading on Clustering Methods

2 works

Paper1996

A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

Ester, Kriegel, Sander & Xu

Defines clusters by local point density rather than distance to a centroid, letting DBSCAN find arbitrarily shaped clusters and label sparse regions as noise instead of forcing every point into a group.

link checked 17 Sept 2026

Artificial Intelligence · Machine Learning Foundations

FreeIntermediate

Paper1967

Some Methods for Classification and Analysis of Multivariate Observations

James MacQueen

Introduces the k-means algorithm as a way of partitioning observations to minimise within-cluster variance, the procedure nearly every later clustering method is compared against.

link checked 17 Sept 2026

Artificial Intelligence · Machine Learning Foundations

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Reading on Clustering Methods

A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

Some Methods for Classification and Analysis of Multivariate Observations

Other topics in Machine Learning Foundations