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Algorithm 30 L1 cluster analysis

L1-Cluster-Analyse

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Abstract

The FORTRAN implementation of an algorithm is given for approximating an optimal clustering ofm objects inton classes such that the total sum of the sums of absolute deviations from the class members to the class centers (medians) is minimized.

Zusammenfassung

Die FORTRAN-Implementation eines Verfahrens zur näherungsweisen Gewinnung einer optimalen Klassifikation vonm Objekten inn Klassen derart, daß die Gesamtsumme der Summen der absoluten Abweichungen der Klassenmitglieder zu den Klassenzentren (Zentralwerte) minimiert wird, wird angegeben.

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References

  1. Späth, H.: Algorithm. Clustering of One-dimensional Ordered Data. Computing11, 175–177 (1973).

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  2. Späth, H.: Cluster-Analyse-Algorithmen zur Objektklassifizierung und Datenreduktion. München: R. Oldenbourg 1975.

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  3. Sparks, D. N.: Algorithm AS 58: Euclidean Cluster Analysis. Apl. Stat.22, 126–130 (1973).

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Späth, H. Algorithm 30 L1 cluster analysis. Computing 16, 379–387 (1976). https://doi.org/10.1007/BF02252086

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  • DOI: https://doi.org/10.1007/BF02252086

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