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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Journey to AI blog

Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection. If a data point appears further away from a dense section of points, it is considered an anomaly.