Linear time Outlier Scoring via Random Walks
Input a matrix where the rows are points and the columns are features, you get back the matrix with an extra last column being the outlier scores.
The scoring is done by an original method (to my knowledge) inspired by MCMC and rejection sampling. It's linear in scoring where you can change the constant multiplier. A larger sampling constant is slower.
Cite As
michael kim (2024). Linear time Outlier Scoring via Random Walks (https://www.mathworks.com/matlabcentral/fileexchange/44178-linear-time-outlier-scoring-via-random-walks), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
outlierRW/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |