Hello,
I have n documents and want to use precomputed similarity mertric between a
pair of documents for clustering.
I created a 2 dim numpy Array say X, containing similarity score for every
pair of documents.
Also
type(X) and X.shape gives the output as
<type 'numpy.ndarray'>
(n, n)
Then I create a cluster object using
*object= *sklearn.cluster.AgglomerativeClustering(*n_clusters=10*,
*affinity='precomputed')*
and then may I do
*object.*fit_predict(X) to get the labels in each cluster.
Thanks,
Amita
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