SVMs (Support Vector Machines) are a way to classify data by finding the optimal plane or hyperplane that separates the data. In 2D, the separation is a plane; In higher dimensions, it's a hyperplane. For simplicity, the following picture shows how SVM works for a two-dimensional set. Click on picture to zoom in References: An Idiot's Guide to SVMs Support Vector Machines Intro to Support Vect…
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