This module uses the KMeans algorithm to assign events to clusters in an unsupervized manner.


The operation name; determines the name of the new metadata

X Channel, Y Channel

The channels to apply the mixture model to.

X Scale, Y Scale

Re-scale the data in Channel before fitting.

Num Clusters

How many clusters to assign the data to.


A list of metadata attributes to aggregate the data before estimating the model. For example, if the experiment has two pieces of metadata, Time and Dox, setting By to ["Time", "Dox"] will fit the model separately to each subset of the data with a unique combination of Time and Dox.