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Anomaly detection is an unsupervised technique to identify data points that don’t confirm the normal behavior in the data. These are some of the most common algorithm techniques for detecting anomalies.
C-means clustering is a clustering technique in which each data point is grouped into different clusters and assigned a probability score. Here’s what you need to know.