Spectral clustering techniques make use of the spectrum (eigenvalues) of the similarity matrix of the data to perform dimensionality reduction before

Density-based spatial clustering of applications with noise (DBSCAN) is a density-based clustering non-parametric algorithm: given a set of points in

Hierarchical Agglomerative Clustering (HCA) is a method of cluster analysis which seeks to build a hierarchy of clusters. Because this is 'Agglomerati

k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in whi