I am currently doing research on anomaly detection and currently I am facing the following problem:

My input data has only one label (anomalies) and the associated data has a very high dimension and is binary (true/false). At the moment it seems to me that I could achieve the best result with the One-class SVM. One restriction I have is that the algorithm should be executable on a µC or a light hardware accelerator.

Do you have any suggestions for algorithms or papers I should look at?

Thanks a lot!

Edit: I also had a look at PCA but it seems to me that the compute is quiet heavy.



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