iOrca Code Release

The iOrca outlier detection algorithm is based on the K-nearest neighbors approach. It calculates the distances across the dataset to determine if data points are near or far away from their set of neighbors. If a point has an unusually large distance to its neighbors, it is considered an outlier and of interest to the user. Calculating the full set of distances is computationally expensive.