RCF is an unsupervised machine learning algorithm for detecting data points that diverge from otherwise well-structured or patterned data set. Detecting these anomalies in data can be critical in a variety of applications – such as identifying fraud detection and incorrectly-priced products as a retailer, or monitoring the health of emergency room patients. The Amazon SageMaker RCF algorithm is optimized to deliver high performance even when dealing with extremely large-scale, large-dimensional datasets.
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