Introduction - If you have any usage issues, please Google them yourself
Given a matrix with m rows and n cols (m points in R^n), use resampling and the Kolmogorov Smirnov test to score [0,1] all points (as potential outliers) in linear time.
This is an original algorithm that can be used for anomaly detection and general signal processing.