I'm trying to run the kmedoids
clustering implementation available on this github page.
The provided minimal working example is pretty straightforward, yet I can't manage to execute the first line using the kMedoids()
function without raising an error:
from sklearn.metrics.pairwise import pairwise_distances
import numpy as np
import kmedoids
# 3 points in dataset
data = np.array([[1,1],
[2,2],
[10,10]])
# distance matrix
D = pairwise_distances(data, metric='euclidean')
# split into 2 clusters
M, C = kmedoids.kMedoids(D, 2) # <-- THIS RAISES AN ERROR
print('medoids:')
for point_idx in M:
print( data[point_idx] )
print('')
print('clustering result:')
for label in C:
for point_idx in C[label]:
print('label {0}: {1}'.format(label, data[point_idx]))
Error is:
Traceback (most recent call last):
File "/usr/lib/python3.5/code.py", line 91, in runcode
exec(code, self.locals)
File "", line 1, in
File "", line 9, in kMedoids
File "mtrand.pyx", line 4832, in mtrand.RandomState.shuffle
File "mtrand.pyx", line 4835, in mtrand.RandomState.shuffle
TypeError: 'range' object does not support item assignment
I set up the example in Eclipse PyDev as follows for Python 3.5:
- Installed all modules using
pip3 install
(numpy, scipy and scikit-learn) - Added the
kmedoids.py
file in the same directory asexample.py
Has anyone tried using this function recently? Could my version of Python (3.5) be causing this error?