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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 ...

With the advent of the big data era, extracting meaningful structures and patterns from massive, high-dimensional, and redundant data has become a critical challenge in machine learning and signal processing. Sparse coding (SC) is an effective unsupervised learning method that reveals the intrinsic structure and latent regularities of data by s ...