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