Лако-красочные материалы — производство

Multidimensional scaling is just one of the multivariate techniques available. To be asked to take a map of England and measure with a ruler the distance between 20 towns is a fairly straightforward project. Multidimensional scaling does the opposite to this; it takes a set of distances and recreates the map. The ‘distances’ in this case are derived
from our sensory panel data by comparing the profiles of every possible pair of samples and deriving a value which represents the overall similarity between each pair. The resulting map places the samples spatially, so that those that are most similar to each other are shown closest together on the map; as samples become progressively more different they are shown progressively further apart.