are estimated from compositions, because the sample space of compositional data is the simplex and not the usual Euclidean …

Latent budget analysis is a classification technique that allows clustering identification by using compositional data …

subcompositional coherence, which forms the basis of compositional data analysis. For an analysis to be subcompositionally coherent, it … suffices to analyse the ratios of the data values. The usual approach to dimension reduction in compositional data analysis is … log-ratio methodology is applied here to frequency data in linguistics and to chemical compositional data in archaeology. …

Compositional data, i.e. data including only relative information, need to be transformed prior to applying the …

A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more …

multivariate statistical test cannot be applied. To overcome the problem, compositional data analysis is customary performed via …

good properties of both. The first is a biplot based on the logratio approach to compositional data analysis. This approach …