k = 30
kmd = pyclust.KMedoids(n_clusters=k, n_trials=10)
kmd.fit(data) # data is 10k points in dim 100, word representations
Traceback (most recent call last):
[...]
kmd.fit(data)
File "/home/will/.local/lib/python3.6/site-packages/pyclust/_kmedoids.py", line 131, in fit
_kmedoids(X, self.n_clusters, self.distance, self.max_iter, self.n_trials, self.tol)
File "/home/will/.local/lib/python3.6/site-packages/pyclust/_kmedoids.py", line 62, in _kmedoids
_kmedoids_run(X, n_clusters, distance, max_iter, tol)
File "/home/will/.local/lib/python3.6/site-packages/pyclust/_kmedoids.py", line 42, in _kmedoids_run
centers,sse_arr = _update_centers(X, membs, n_clusters, distance)
File "/home/will/.local/lib/python3.6/site-packages/pyclust/_kmedoids.py", line 24, in _update_centers
inx_min = np.argmin(dist)
File "/usr/lib/python3.6/site-packages/numpy/core/fromnumeric.py", line 1033, in argmin
return argmin(axis, out)
ValueError: attempt to get argmin of an empty sequence