python - nltk.cluster using a sparse representation -
i quite new in python.
i trying use nltk.cluster package apply simple kmeans word-document matrix. while works when matrix list of numpy array-like objects, wasn't able make work sparse matrix representation (such csc_matrix, csr_matrix or lil_matrix).
all information found was:
note vectors must use numpy array-like objects. nltk_contrib.unimelb.tacohn.sparsearrays may used efficiency when required
i not understand means. can me in matter?
thanks in advance!
it means when pass in input vector, can either pass in numpy.array() or nltk_contrib.unimelb.tacohn.sparsearrays.
i suggest @ package nltk_contrib.unimelb.tacohn find sparsearrays class. try create data class before passing nltk.cluster
Comments
Post a Comment