OA-Streams-CA: Wrappers for top 5 online cluster analyzers

[detlefarend]

Description/Motivation Scikit-learn is a very spread and mature ML package. Implementing wrappers for the same CA algorithms as we did for River enables statements of performance, accuracy, and reliability in a direct comparison...

This is motivated by the fact, that the current River implementations of STREAMKMeans, CluStream, DenStream, DBStream don't perform satisfyingly due to unknown reasons. A comparison with scikit-learn algos enables discovering the reasons...

A set of stable top 5 ca algorithms is also a good basis for further studies on ca-based anomaly detection.

Task list

• [ ] 1. Wrapper classes
  • [ ] KMeans
  • [ ] STREAMKMeans
  • [ ] CluStream
  • [ ] DenStream
  • [ ] DBStream
• [ ] 2. Related Howtos
  • [ ] Proposal: copy/paste/adjust the howtos from MLPro-Int-River
• [ ] 3. RTD
  • [ ] Proposal: copy/paste/adjust the related sections from MLPro-Int-River

Related issues

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Cross references ...

Branch oa/cluster_analysis

[detlefarend]

Hi @syamrajsatheesh, I just discarded this issue due to the missing algorithmic base in scikit-learn.