K-means Algorithm: Math | K-means Algorithm – theory and links for further readings Code | K-means Algorithm – implementation example demo | K-means Algorithm – split Iris flowers into clusters based on petal length and petal width
Anomaly Detection: Anomaly detection (also outlier detection) is the identification of rare items, events, or observations that raise suspicions by differing significantly from the majority of the data. Usage examples: intrusion detection, fraud detection, system health monitoring, removing anomalous data from the dataset, etc.
Anomaly Detection using Gaussian Distribution: Math | Anomaly Detection using Gaussian Distribution – theory and links for further reading code | Anomaly Detection using Gaussian Distribution – implementation example demo | Anomaly Detection – find anomalies in server operational parameters like latency and threshold.