Are cluster feature and micro-cluster good summary statistics for outlier detection in high dimensional data streams? 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.
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.