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This machine learning technique is a new form of PCA that allows for determination of the set of variables that best explain two groups.https://arxiv.org/abs/1709.06716

We want to add an intensity dimensions to our attributes on a CATA question... for the moment, only CATA analyse are available on XLSTAT.The idea will be to create a CATA questionnaire, and for each attributes quoted, a JAR scale will be presented...

Since there is already a feature for doing PCAs, MFAs, etc. considering both active & supplementary data, it would be very useful adding the same feature for clustering methods as we usually use them paired up.

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Discussed in classics such as Jacques Bertin's 1967 Semiology of graphics and Helmut Spaths Cluster analysis algorithms (which also describes Walter D. Fisher's discretization algorithm implemented in XLStat Fisher procedure) such matrix reorderi...

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It s great that you have the SVM included but in order to be actually useful for research these are the things that are needed for optimum model selection. Now the models are not optimized. 1. Cross-Validation: you need to add a k-fold cross-vali...