US Patent 10318886 Anomaly detection with K-means clustering and artificial outlier injection
Patent 10318886 was granted and assigned to Citrix Systems on June, 2019 by the United States Patent and Trademark Office.
All edits
The present disclosure is directed towards systems and methods for improving anomaly detection using injected outliers. A normalcy calculator of a device may include a set of outliers into a training dataset of data points. The normalcy calculator, using a K-means clustering algorithm applied on the training dataset, identify at least a first cluster of data points. The normalcy calculator of the device may determine a region with a center and an outer radius that covers at least a spatial extent of the first cluster of data points. The normalcy calculator may determine a first normalcy radius for the first cluster by reducing the region around the center until a point at which all artificial outliers are excluded from a region defined by the first normalcy radius. An outlier detector of the device may use the region defined by the first normalcy radius to determine whether a new data point is normal or abnormal.
US Patent 10318886 Anomaly detection with K-means clustering and artificial outlier injection
Find more entities like US Patent 10318886 Anomaly detection with K-means clustering and artificial outlier injection
