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XLSTAT version 2021.1
XLSTAT 2021.1 is now available! What’s new? One-class Support Vector Machine (available in all XLSTAT solutions except Basic) The One-class Support Vector Machine (One-class SVM) algorithm seeks to envelop underlying inliers. The aim is to separate data into two classes (based on a decision function): the positive one, considered as the class of inliers, and the negative one, considered as the class...
XLSTAT Zoom: How to become a PCA guru, with XLSTAT
Did you know that Principal Component Analysis (PCA) is one of the most widely used XLSTAT features? It’s not surprising as this data mining method is extensively used in marketing, biostatistics, sociology, and many other fields. With XLSTAT’s powerful algorithms, you’ll have more than 15 output tables and graphs generated automatically by XLSTAT, while more than 20 options are available to customize...
XLSTAT version 2022.1 - Data Mining
XLSTAT 2022.1 offers new possibilities for exploratory data analysis and clustering — whatever your field is. Discover what’s new in XLSTAT! Detrended Correspondence analysis What is detrended correspondence analysis? Detrended Correspondence Analysis, proposed by Hill and Gauch (1980), is an alternative to Classical Correspondence Analysis (CA) which studies the association between two qualitative...