Version 2015.1 features the very popular K-Nearest Neighbors (KNN) classification algorithm (Pro package). KNN is an intuitive, yet a very efficient supervised machine learning classifier. XLSTAT proposes various distance functions to match your specific needs. Computations run with an unbeatable speed.
Furthermore, the Cochran Q non-parametric test now includes exact and Monte Carlo approximation options to compute p-values. The algorithm used was developed by the XLSTAT team and outperforms by far all of the software solutions that exist in terms of speed.
This module focuses on Analysis of Variance, but this technique makes assumptions about the underlying distributions in our data
This course covers the excellent features in XLSTAT for investigating, visualising and modelling data sets with measurements on many variables.
This short course delivered online will show consumer scientists how to set up and learn about the routines available in XLSTAT for relating consumer acceptability to sensory/analytic measures.
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