Modern Algorithms of Cluster Analysis

DOI10.1007/978-3-319-69308-8zbMath1380.62010OpenAlexW2777948323MaRDI QIDQ4602704

S. T. Wierzchon, Mieczysław Kłopotek

Publication date: 31 January 2018

Published in: Studies in Big Data (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-69308-8

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

Related Items

Methodically unified procedures for a conditional approach to outlier detection, clustering, and classification ⋮ Quasifibrations of graphs to find symmetries and reconstruct biological networks ⋮ Detecting anomalies in fibre systems using 3-dimensional image data ⋮ A new clustering preserving transformation for \(k\)-means algorithm output ⋮ Biclustering multivariate discrete longitudinal data ⋮ Approximating Spectral Clustering via Sampling: A Review ⋮ A feasible \(k\)-means kernel trick under non-Euclidean feature space ⋮ Data clustering based on the modified relaxation Cheeger cut model