2
$\begingroup$

I have a set of points in a matrix of size 100 x 100(total 10000 points). I know that there are roughly 500 anomaly points in it. There is a corresponding truth file which contains the true anomalous points which is not available while building the algorithm. The goal is to maximize the F-measure of the anomalies returned. How do I approach this problem?

The dataset of all points

$\endgroup$
1
$\begingroup$

To find the outliers you could use an outlier detection algorithm like Local Outlier Factor. This algorithm computes a score for each data point, so that you could treat the 500 objects with the highest score as an outlier.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.