New combinatorial clustering methods

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Sixteen clustering methods are compatible with the general recurrence equation of combinatorial SAHN (sequential, agglomerative, hierarchical and nonoverlapping) classificatory strategies. These are subdivided into two classes: the d-SAHN methods seek for minimal between-cluster distances the h-SAHN strategies for maximal within-cluster homogeneity. The parameters and some basic features of all combinatorial methods are listed to allow comparisons between these two families of clustering procedures. Interest is centred on the h-SAHN techniques; the derivation of updating parameters is presented and the monotonicity properties are examined. Three new strategies are described, a weighted and an unweighted variant of the minimization of the increase of average distance within clusters and a homogeneity-optimizing flexible method. The performance of d- and h-SAHN techniques is compared using field data from the rock grassland communities of the Sashegy Nature Reserve, Budapest, Hungary.

Original languageEnglish
Pages (from-to)61-77
Number of pages17
JournalVegetatio
Volume81
Issue number1-2
DOIs
Publication statusPublished - Jul 1 1989

    Fingerprint

Keywords

  • Cluster homogeneity
  • Dendrogram
  • Flexible method
  • Hierarchical classification
  • Rock grassland
  • Ultrametric

ASJC Scopus subject areas

  • Plant Science

Cite this