Corwin Stanford

K-means Clustering for Large Data: Anomaly Detection in Supervisory Control and Data Acquisition Systems

2023

K-means is a common unsupervised method for partitioning low dimensional datasets. However, it is usually not used for higher dimensional datasets, such as those found in Supervisory Control and Data Acquisition (SCADA) systems. Here we …