Hello,
sklearn.cluster.Birch follows the original BIRCH paper, that appears to
be mostly focused on efficiently building the hierarchical clustering
tree (and not so much on making the later analysis user friendly). The
attributes exposed by Birch are those that could be reasonably exposed
gi
Hi Apurva,
if you consider the operations done by the augmented frequency and the
cosine normalization independently from everything else, they are
somewhat similar. The normalization by max in a p-norm with pā+ā . So
apart from the 0.5 offset, both are can be seen document length
normalizati