We have explained our efficient and maximally nonmetric multidimensional scaling method (nMDS) applicable to very large data sets and have illustrated how it can be effectively used to extract qualitative features (structures and patterns) hidden in the data set. Examples of genomic, phylogenetic and ecological data analyses illustrate the versatility of the (large scale) use of nMDS. Certain criteria to evaluate the goodness of the nMDS results are also proposed.
- Data mining
- Large samples
- Multi-variate analysis
- Nonmetric multidimensional scaling
ASJC Scopus subject areas