Fast and easy to use anomaly detector

What is it about?

We present a novel algorithm to detect anomalies. It is fast and easy to use, also having the source codes available for download. No parameter-tuning is necessary. The input is a set of numerical values that can be either the original form of the dataset, or features extracted from more complex data, such as images, fingerprints or audio files. The output is a set of anomalous instances.

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Why is it important?

Our algorithm allows spotting anomalies in large data collections in a fraction of the time required by previous methods. Also, it is fully automatic by not requiring any parameter-running.