In model-based clustering of complex data, a probability model, typically a finite mixture probability model, forms the basis of the distance measure between any pair of clusters. The idea of ...

Clustering problems (including the clustering of individuals into outcrossing populations, hybrid generations, full-sib families and selfing lines) have recently received much attention in population ...

Various methods of summarizing phenetic relationships are briefly reviewed (including a comparison of principal components analysis and non-metric scaling). Sequential agglomerative hierarchical ...

Until the development of ClustEval, cluster analyses were mostly carried out manually without guidelines or standardized procedures for dealing with the many factors of cluster analyses. Consequently, ...

Multivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used for several ...