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Python implementation of Local Outlier Factor algorithm.

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Hi, thanks for sharing this greate project! There is one line of code I can't understand: `rmse = (sum(map(lambda x: x**2, differences)) / len(differences))**0.5` As far as I know, if...

The performance evaluations of LOF in the paper shows that it takes about 2000 seconds for the algorithm to detect outliers in a 10-dimensional dataset with 200000 data points. However,...

Hi, It can throw IndexError "list index out of range" when the input data contains duplicated data, so I rewrite the k-distance function to apply in these case.