1 Machine Learning (ml module) {#tutorial_table_of_content_ml} 2 ============================ 3 4 Use the powerful machine learning classes for statistical classification, regression and clustering 5 of data. 6 7 - @subpage tutorial_introduction_to_svm 8 9 *Compatibility:* \> OpenCV 2.0 10 11 *Author:* Fernando Iglesias Garca 12 13 Learn what a Suport Vector Machine is. 14 15 - @subpage tutorial_non_linear_svms 16 17 *Compatibility:* \> OpenCV 2.0 18 19 *Author:* Fernando Iglesias Garca 20 21 Here you will learn how to define the optimization problem for SVMs when it is not possible to 22 separate linearly the training data. 23 24 - @subpage tutorial_introduction_to_pca 25 26 *Compatibility:* \> OpenCV 2.0 27 28 *Author:* Theodore Tsesmelis 29 30 Learn what a Principal Component Analysis (PCA) is. 31
