Over recent releases, Statistics and Machine Learning Toolbox has included new functionality for multivariate classification methods, including cross-validation, feature selection, Naïve Bayes, bagged decision trees, ROC performance curves and integration with Parallel Computing Toolbox.
In this webinar we will give an overview of classification methods available in Statistics and Machine Learning Toolbox and related products, and demonstrate their application to tumor classification using gene expression data.
Previous knowledge of MATLAB is not required for this webinar.
Recorded: 8 Oct 2009
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