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One-Class SVM (OCSVM) is a variant of Support Vector Machine designed for anomaly detection in an unsupervised setting. Unlike traditional supervised SVMs that require both positive and negative examples, OCSVM learns a decision boundary using only data from a single class (typically the normal class). Its primary goal is to identify novel or a ...

To solve the support vector machine (SVM) primal and dual problems using the CVX toolbox, we need to formulate and optimize the corresponding mathematical models. 1. Primal Problem of SVM (Hard Margin) Objective Function: [\min_{w,b} \frac{1}{2} |w|^2 ]Constraints: [y_i (w^T x_i + b) \geq 1 \quad \forall i ]``` % Generate linearly separable dat ...