Tutorial article showcases exploratory data analysis methods in Gamma-GUI, highlighting usability and features.
GAMMA-GUI APP: A USER-FRIENDLY GRAPHICAL INTERFACE FOR EXPLORATORY DATA ANALYSIS IN MATLAB. In this work, we continue our series of tutorial articles published in the Química Nova exploring different features of the GAMMA-GUI app (Grupo de Análise Multivariada em Matrizes Alimentares), a user-friendly interface for the multivariate analysis in Matlab®. This time, we demonstrate five types of exploratory data analysis (unsupervised learning), complemented by video demonstrations on our YouTube channel. Applications consist of demonstration with: (i) principal component analysis (PCA); (ii) self-organizing maps (SOM); (iii) hierarchical cluster analysis (HCA); (iv) k-means, and (v) common dimensions analysis (ComDim). Additionally, a demonstration of descriptive statistics with Tukey HSD (honest significant difference) has been included in this tutorial. Suggestions for improvements or new ideas for the app are welcome and can be directed to the developers.
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Galvan et al. (2025) studied this question.
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