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In the labelling section, I think it might make sense to add a gaussian mixture model labeler to supplant the K-means and hierarchical labelling. @patrickrd's new paper due out in JRSSB makes a pretty good argument for labelling a graph after spectral embedding.
The text was updated successfully, but these errors were encountered:
In the labelling section, I think it might make sense to add a gaussian mixture model labeler to supplant the K-means and hierarchical labelling. @patrickrd's new paper due out in JRSSB makes a pretty good argument for labelling a graph after spectral embedding.
The text was updated successfully, but these errors were encountered: