PCA clustering

The aim of cluster analysis is to classify the observations into distinct groups based on how similar their data are. Genstat offers an efficient clustering algorithm specifically designed to handle very large multivariate data sets. This algorithm exploits principal components to reduce the dimensions of the data. Additionally, it uses a specialized clustering method to reduce the heavy computational load when dealing with a large number of observations.