http://manuals.pqstat.pl/ 2026-04-30T15:18:18+00:00 http://manuals.pqstat.pl/ http://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-02-16T09:13:04+00:00 Anonymous (anonymous@undisclosed.example.com) http://manuals.pqstat.pl/en:statpqpl:redpl:pcapl Principal Component Analysis The window with settings for Principal component analysis is accessed via the menu Advenced statistics → Multivariate Models → Principal Component Analysis. Principal component analysis involves defining completely new variables ( text/html 2022-03-15T20:25:57+00:00 Anonymous (anonymous@undisclosed.example.com) http://manuals.pqstat.pl/en:statpqpl:redpl:skupienpl Cluster Analysis Cluster analysis is a series of methods for dividing objects or features (variables) into similar groups. In general, these methods are divided into two classes: hierarchical methods and non-hierarchical methods such as the k-means method. In their algorithms, both methods use a similarity matrix to create clusters based on it.