A clustering method based on the \(L_ 1\)-norm

DOI10.1016/0167-9473(87)90058-2zbMath0624.62058OpenAlexW2073149227MaRDI QIDQ578809

Krzysztof Jajuga

Publication date: 1987

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-9473(87)90058-2

zbMATH Keywords

classificationiterative algorithmL1-normbivariate Laplace distributionsbivariate normalISODATA clustering methodmedian vectorsMonte Carlo studiesoptimal location parameter vectors

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Probabilistic methods, stochastic differential equations (65C99)

Related Items (2)

An incremental nonsmooth optimization algorithm for clustering using \(L_1\) and \(L_\infty\) norms ⋮ Center-based l1–clustering method

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