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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 that groups data points into different clusters and assigns a probability score, allowing a data point to belong to multiple clusters to varying degrees. Here’s how it works and how to install it on Python.


