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\(L_1\) cluster analysis

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Publication:1223922
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DOI10.1007/BF02252086zbMath0322.65008OpenAlexW2320797593MaRDI QIDQ1223922

Helmuth Späth

Publication date: 1976

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02252086



Mathematics Subject Classification ID

Numerical smoothing, curve fitting (65D10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Enumerative combinatorics (05A99) Algorithms in computer science (68W99)


Related Items (6)

The minisum location problem for the Jaccard metric ⋮ Clusteranalyse - Überblick und neuere Entwicklungen ⋮ An incremental nonsmooth optimization algorithm for clustering using \(L_1\) and \(L_\infty\) norms ⋮ Computational experiences with the exchange method. Applied to four commonly used partitioning cluster analysis criteria ⋮ Center-based l1–clustering method ⋮ Minimization subproblems and heuristics for an applied clustering problem


Uses Software

  • AS 58



Cites Work

  • Algorithm. Clustering of one-dimensional ordered data
  • Unnamed Item




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