XLSTAT 2015.1

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.


Latest events

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.

This short course delivered online will show consumer scientists how to use partial least squares in XLSTAT for relating consumer acceptability to sensory/analytic measures.

This webinar presents the principles of Supervised Machine Learning & Prediction, with demos using the XLSTAT data analysis software. May 5, 2020 5:00 PM - 6:00 PM CEST

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💡 XLSTAT #Tips - How to create optimal surveys for product design testing? Discover Max-Diff, a quantitative surve… https://t.co/2EoBK7zuGO

💡 XLSTAT Tips: How can I quickly gain insight into a survey dataset? https://t.co/sxXmbB1eim The answer with Multi… https://t.co/nmIUKFeg04

🗓️ Preference Mapping Using @XLSTAT with @Qi_Statistics ➡️ 25 June at 08:00 or at 15:00 (GMT +1 / BST)… https://t.co/RYRir37g3v