Acta Botanica Hungarica
Volume/Issue:
Volume 50: Issue 1-2
Validation of hierarchical classifications by splitting dataset
Author:
Z. Botta-Dukát Hungarian Academy of Sciences Institute of Ecology and Botany H-2163 Vácrátót Alkotmány u. 2-4 Hungary

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Pages:
73–80
Online Publication Date:
11 Apr 2008
Publication Date:
01 Mar 2008
Article Category:
Journal Article
DOI:
https://doi.org/10.1556/abot.50.2008.1-2.4
Keywords:
classification; validation; data splitting
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Whenever we make any kind of ecological study it is obvious that a sample is analysed since we are not able to measure the whole statistic population. Numerical classification in general is a useful tool to explore the structure of different kinds of ecological data, but it reflects the structure of the studied dataset (the sample). However, we are interested in the structure of the statistical population from which the sample is derived. It is possible that among the clusters gained by the classification there are some, which are representative only for the sample and not for the whole statistical population, thus these clusters can be called “artificial”. This paper describes a method that helps us to avoid the interpretation of these “artificial” clusters, which are characteristic only for the sample, not for entire population. The method is called validation, because its steps are similar to validation used in other fields of numerical analysis. In case of cluster analysis the definitive characteristics of the particular clusters are unknown. This means that it is not possible to make testable hypothesis based on the results of the cluster analysis. Therefore, the method proposed here does not compare the clusters themselves, but the “meaning” of the clusters; i.e. their characteristics that are used for the interpretation of the results. Frequency of species was chosen as “meaning” of clusters here, but using other characteristics, e.g. mean or median for continuous variables is also possible. The new methods are applied to an artificial dataset to illustrate the procedure and to show its merits.

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Cover Acta Botanica Hungarica
Acta Botanica Hungarica
Print ISSN:
0236-6495
Online ISSN:
1588-2578

Senior editors

Managing Editors

Editorial Board

  • Gy. BORBÉLY (Debrecen)
  • A. ČARNY (Ljubljana)
  • A. CSERGŐ (Dublin)
  • B. CZÚCZ (Paris)
  • M. HÖHN (Budapest)
  • K. T. KISS (Budapest)
  • A. KUZEMKO (Uman)
  • Z. LOSOSOVÁ (Brno)
  • I. MÁTHÉ (Szeged)
  • E. MIHALIK (Szeged)
  • S. ORBÁN (Eger)
  • R. PÁL (Butte)
  • Gy. PINKE (Mosonmagyaróvár)
  • T. PÓCS (Eger)
  • K. PRACH (České Budejovice)
  • E. S. RAUSCHERT (Cleveland)
  • E. RUPRECHT (Cluj Napoca)
  • G. SRAMKÓ (Debrecen)
  • A. T. SZABÓ (Veszprém)
  • É. SZŐKE (Budapest)
  • B. TOKARSKA-GUZIK (Katowice)
  • B. TÓTHMÉRÉSZ (Debrecen)
  • P. TÖRÖK (Debrecen)

Botta-Dukát, Zoltán
E-mail: botta-dukat.zoltan@okologia.mta.hu

or

Lőkös, László
E-mail: acta@bot.nhmus.hu
Institute: Botanical Department, Hungarian Natural History Museum
Address: Könyves K. krt. 40. H-1097 Budapest, Hungary

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2024  
Scopus  
CiteScore  
CiteScore rank  
SNIP  
Scimago  
SJR index 0.222
SJR Q rank Q3

2023  
Scopus  
CiteScore 1.7
CiteScore rank Q3 (Plant Science)
SNIP 0.749
Scimago  
SJR index 0.24
SJR Q rank Q3

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Acta Botanica Hungarica
Language English
French
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Size B5
Year of
Foundation		 1954
Volumes
per Year		 1
Issues
per Year		 4
Founder Magyar Tudományos Akadémia
Founder's
Address		 H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0236-6495 (Print)
ISSN 1588-2578 (Online)

 

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