Clusteranalysis as a swine farm qualifying method

A tétel rövid nézete
dc.contributor.authorKovács, Sándor
dc.contributor.authorBalogh, Péter
dc.date.accessioned2021-06-28T10:59:06Z
dc.date.available2021-06-28T10:59:06Z
dc.date.issued2007-11-15
dc.description.abstractCluster Analysis is one of the most favorite multivariable statistical methods, which is actually a special type of aggregating method. Observations are clustered by variables belonged to the observations. Our purpose is to create such clusters, in which the elements are the most similar, and between the clusters they are the most variant. For example these clusters could be the qualitative classifications of farms. There have been several methods in Cluster Analysis as well as numerous distance measures, which could be used. In this article, we study all of these methods and measures. After we show the theoretical background, we apply the method in a given casestudy to control the qualitative classifications of experts. In this study, we use both the hierarchical and the non-hierarchical method, and also compare them. We would like to attract the attention that the most important problem of the analysis is to determine the optimal of clusters.en
dc.formatapplication/pdf
dc.identifier.citationActa Agraria Debreceniensis, No. 27 (2007) , 165-174
dc.identifier.doihttps://doi.org/10.34101/actaagrar/27/3121
dc.identifier.issn2416-1640
dc.identifier.issue27
dc.identifier.jatitleActa agrar. Debr.
dc.identifier.jtitleActa Agraria Debreceniensis
dc.identifier.urihttps://hdl.handle.net/2437/316641en
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/actaagrar/article/view/3121
dc.rights.accessOpen Access
dc.subjectclusteranalysisen
dc.subjectswineen
dc.subjectswine-farmsen
dc.subjectqualifyingen
dc.titleClusteranalysis as a swine farm qualifying methoden
dc.typefolyóiratcikkhu
dc.typearticleen
dc.type.detailedidegen nyelvű folyóiratközlemény hazai lapbanhu
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Acta Agraria Debreceniensis (DE-journals)