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Use bluster to control the clustering, so that users can easily swap out for, e.g., self-organizing maps instead of k-means, or to use mini-batch kmeans via mbkmeans. This requires some class fiddling to define a FixedNumberParam virtual class in bluster, where we can be guaranteed of getting the same number of clusters that we put in.
The text was updated successfully, but these errors were encountered:
Use bluster to control the clustering, so that users can easily swap out for, e.g., self-organizing maps instead of k-means, or to use mini-batch kmeans via mbkmeans. This requires some class fiddling to define a
FixedNumberParam
virtual class in bluster, where we can be guaranteed of getting the same number of clusters that we put in.The text was updated successfully, but these errors were encountered: