文章基本信息

标题：Classification of athletic decathlon using methods of hierarchical analysis
本地全文：下载
作者：JAROSLAV BROĎÁNI ; NATÁLIA DVOŘÁČKOVÁ ; MONIKA CZAKOVÁ 等
期刊名称：Journal of Physical Education and Sport
印刷版ISSN：2247-8051
电子版ISSN：2247-806X
出版年度：2020
卷号：20
期号：6
页码：3253-3259
DOI：10.7752/jpes.2020.s6441
语种：English
出版社：University of Pitesti
摘要：Authors deals with the problematics of group classification of athletics disciplines, which influence the sports performance in the men's decathlon. For the group identification, the indicators of the best world's performance in decathlon above the 8000 points according to the data from IAAF (1986-2019) were used. From the classification methods of clustering the hierarchical models as the Average linkage (Between & Within-group), Single Linkage - Nearest neighbor, Complete Linkage - Farthest neighbor, Centroid linkage, Median clustering, and Ward´s method were used. The substructure of the clusters is differentiated according to the relations of used methods. All seven clustering methods agreed in four groups of disciplines in 4 cluster [100 meters, 400 meters, Long jump, 110 meters hurdles, Pole vault] [High jump] [1500 meters]. Stability test with a substructure of decathlon of 4th. cluster is identified in 85.71% cases. Hierarchical models allow identifying groups of athletics disciplines that influence the sports performance in men's decathlon. Understanding the structure of sports performance contributes to the streamlining of the training process and determining the typology of top-class decathletes.
关键词：decathlon;men;cluster analysis