Abstract
SummaryConsensus trees are graphical summarizations of the information shared between two or more classifications of the same set of elements. A new application of consensus tree methods, useful for those performing cluster analyses, is described. When more than one phenogram is produced during the course of a cluster analysis, consensus trees can be used to summarize the information about group structure shared by the different phenograms. This can lead to a clearer understanding of group relationships in the data. Application of consensus tree methods, specifically Adams‐II and durchschnitt consensus, in cluster analyses of Crataegus individuals, made a significant contribution to clarifying species relationships in a taxonomically difficult genus.
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