Yes, tons of that. See this - using K-Means clustering for anomaly detection in web traffic: https://imgur.com/a/qWMgUo0 https://imgur.com/a/qWMgUo0 Using DB

Yes, tons of that. See this - using K-Means clustering for anomaly detection in web traffic: https://imgur.com/a/qWMgUo0 https://imgur.com/a/qWMgUo0 Using DBscan clustering for anomaly detection in healthcare claims data (detecting doctors who anomalously prescribing opioids). Using public CMS data set from 2015. 4 out of 8 top anomalies (doctors) were later actually convicted of crimes or gone into all sort of troubles with DOJ: https://imgur.com/a/6wFWTg5 https://imgur.com/a/6wFWTg5 https://imgur.com/a/f721ndb https://imgur.com/a/f721ndb (Splunk Enterprise + free apps was used to ingest data and build all this logic and dashboards)