Fix for Issues with CluStream clustering #1634
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Deals with a mismatch between centers used for distance calculation (mc.center) and centers used for cluster assignment (_mc_centers). This causes issues as _mc_centers is only updated when using k-Means. Due to cluster merging/deletion, the index found by the check for the closest micro-cluster may not necessarily refer to the same microcluster as the stored center in _mc_centers.
Deals with an issue where CluStream can skip the kMeans step if the datapoint at timestep "self._timestamp % self.time_gap == self.time_gap - 1" is added to an existing micro-cluster
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Two fixes regarding issues with the clustering procedure of CluStream:
A more in-depth description can be found here: Issues with CluStream clustering #1633