How to print result of clustering in sklearn

Question

I have a sparse matrix

from scipy.sparse import *
M = csr_matrix((data_np, (rows_np, columns_np)));

then I\'m doing clustering that way

Answer 1

Update: You can do it the following way

"""data= data clustered retrieved by function as you want"""
"""model = result from the data with got by KMeans"""
"""cluster = clusters formed by the model"""
from sklearn.cluster import KMeans

data = clusteredData()
model = KMeans(n_clusters=5, init='random', max_iter=100, n_init=1, verbose=1)
cluster = model.fit_predict(scale(data))

dictionary = {}
for index in range(len(data)): 
    if cluster[index] in dictionary:
        value = []
        value = dictionary[cluster[index]]
        value.append(data[index])
        dictionary[cluster[index]] = value
    else:
        dictionary[cluster[index]]=data[index]

This will create you a dictionary with the NUMBER_OF_THE_CLUSTER as a key and the data within that cluster as a VALUE