N3-BNN Toolbox (for MATLAB)

The N3-BNN toolbox for MATLAB is a collection of MATLAB modules for calculating N3 (N-Nearest Neighbours) and BNN (Binned Nearest Neighbours) classification methods. Beside N3 and BNN, the classical kNN (k Nearest Neighbours) classification method is implemented for comparison.

Help files
HTML files are provided toghter with the MATLAB files in order to help the user. The HTML help explains how to prepare your data, how to handle the model settings and how to calculate the models.

Conditions and warranty
The toolbox is freeware and may be used (but not modified) if proper reference is given to the authors. Preferably refer to the followign papers:
Todeschini, R., Ballabio, D., Cassotti, M., Consonni, V. (2015). N3 and BNN: Two new similarity based classification methods in comparison with other classifiers. Journal of Chemical Information and Modeling, 55, 2365-2374.
In short, no guarantees, whatsoever, are given for the quality of this toolbox or for the consequences of its use. It is inevitable that there will be some bugs, but we have tried to test the algorithms thoroughly.

Fill in the following form. Your personal data will be used only for notification via email of new releases of the toolbox and will not be communicated to external third parties. Once the form has been submitted, download the rar file containing the toolbox on a local folder, unzip the rar file and extract all the Matlab modules in a unique folder. Before starting calculations, please read the HELP files provided in HTML format. A complete guide on how to calculate models is provided.