XLSTAT version 2020.4

Banner_White_Mail.png

 

XLSTAT 2020.4 is now available! What’s new? 

Support Vector Machine (SVM) has been generalized and can be applied to regression problems in addition to classification ones. This method is commonly used in time series prediction. Our revamped interface now allows you to choose the best suited response variable type for your analysis (binary/multi-class classification or regression). 

Access this feature under the Machine Learning menu. 

A new clustering method for multiblock datasets, commonly used in sensory and consumer studies (e.g. projective mapping) has been added. Use this feature, to perform a cluster analysis of consumers or judges on the basis of their perceptions of products. This new feature is particularly useful when your data includes atypical configurations. 

Access this new feature under the Sensory Data Analysis menu. 

Our revamped interface will allow you to easily generate an experiment design. It is now possible to select the data in a single tab instead of several ones. A new table has been added to the report sheet allowing you to define the optimization settings of the analysis or use the default software ones. 

Access this feature under the DOE menu. 

Users can now either manually define the number of neighbors or use the K-fold cross validation option to identify the optimal number of neighbors from a range of values. The model with the minimum cross-validation errors will apply. A summary table for each tested K, and the related chart will be displayed.

Access this feature under the Machine Learning menu. 

A Prediction tab has been added in the dialog box to allow you to select the variables of the prediction sample. As a result, you no longer need to select the prediction set in the General tab. 

Access this feature under the Machine Learning menu. 


How to get XLSTAT 2020.4?

Version 2020.4 will give you access to all the above improvements, advanced options and increase the performance of your software. Installing our new version is recommended for all users.

If you are currently using our trial version or have a valid license, you can download version 2020.4 for free at:

 

If you have a perpetual license without access to free upgrades and maintenance, please order an upgrade via your MyXLSTAT portal or contact us for further information.

 


Latest events

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.

Latest tweets

💡 How is XLSTAT being used in research? In this paper, discover whether and how straw materials could affect sensor… https://t.co/GqKhmO33P3

☕ How can we split a collection of stone fragments into groups of similar pieces using k-means clustering?… https://t.co/HWTEgA4Og9

🔎 How to deal with missing data? ➡️ NIPALS, MCMC, EM algorithm or Nearest Neighbor: Discover the #XLSTAT methods pr… https://t.co/I5Ia2BOlmf