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Extract the USPORF tree structure into python and use it for outlier detection #348

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MaiRajborirug opened this issue May 14, 2020 · 0 comments

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MaiRajborirug commented May 14, 2020

Problem 1:

Currently, the tree structure only exists in the C++ backend and is mostly inaccessible to the user in python.

Proposal 1:

Create a new python/cython code that generates USPORF forest/tree structures

Problem 2:

There is no outlier/anomaly detection in USPORF yet

Proposal 2

Create an outlier detection algorithms example which contain:

Isolation Forest (IF) from scikit-learn
USPORF using affinity sum row of affinity matrix to determine the outliers
USPORF uses pathlength function from Isolation Forest paper

MaiRajborirug added the enhancement label

MaiRajborirug mentioned this issue

Add Cython USPORF and outlier detection example #349

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