Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets

DOI10.1007/978-3-642-23166-7_5zbMath1231.68214arXiv1005.2638OpenAlexW1559349511MaRDI QIDQ3113387

Pedro Contreras, Fionn Murtagh

Publication date: 9 February 2012

Published in: Intelligent Systems Reference Library (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1005.2638

zbMATH Keywords

complexitypattern recognitionclusteringmultivariate data analysishierarchy\(p\)-adicdata analyticsultrametric topologyinformation storage and retrieval

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Local and global symmetry breaking in itemset mining ⋮ Clustering sparse binary data with hierarchical Bayesian Bernoulli mixture model ⋮ Sensitivity analysis of discrete preference functions using Koszul simplicial complexes ⋮ Topological Data Analysis of Single-Cell Hi-C Contact Maps ⋮ Unnamed Item

This page was built for publication: Hierarchical Clustering for Finding Symmetries and Other Patterns in Massive, High Dimensional Datasets