English, Article, Journal or magazine article edition: On the Efficiency and Sensitivity of a Pyramidal Classification Algorithm Àngel J. Gil; Carles Capdevila; Antoni Arcas

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Physical Description
  • preprint
Language
  • English

Edition details

Title
  • On the Efficiency and Sensitivity of a Pyramidal Classification Algorithm
Author
  • Àngel J. Gil
  • Carles Capdevila
  • Antoni Arcas
Physical Description
  • preprint
Notes
  • In this paper we propose a Pyramidal Classification Algorithm, which together with an appropriate aggregation index produces an indexed pseudo-hierarchy (in the strict sense) without inversions nor crossings. The computer implementation of the algorithm makes it possible to carry out some simulation tests by Monte Carlo methods in order to study the efficiency and sensitivity of the pyramidal methods of the Maximum, Minimum and UPGMA. The results shown in this paper may help to choose between the three classification methods proposed, in order to obtain the classification that best fits the original structure of the population, provided we have an a priori information concerning this structure.
  • Pyramidal classification methods, aggregation index, pseudo-hierarchy, Robinsonian dissimilarity, Monte Carlo evaluation, overlapping clusters
  • RePEc:upf:upfgen:270
Language
  • English
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