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I'm dealing with outlier detection in data streams. I'm looking for a way to summarize my data and obtain important statistics such as means and variance, etc. I want to know if the cluster features or microclusters are suitable or not.

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No.

Because assignment to microclusters is distance-based, and distances do not work in high-dimensional data anymore. Most likely one mucrocluster will become most central by chance and collect all the samples.

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  • $\begingroup$ Thank you for your answer. $\endgroup$ – I Sui Dec 27 '19 at 10:32

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