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Clark/allow duplicated inputs #1

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5 changes: 4 additions & 1 deletion kmc2.pyx
Original file line number Diff line number Diff line change
Expand Up @@ -86,7 +86,10 @@ def kmc2(X, k, chain_length=200, afkmc2=True, random_state=None, weights=None):
centers[0, :] = rel_row.todense().flatten() if sparse else rel_row
if afkmc2:
di = np.min(euclidean_distances(X, centers[0:1, :], squared=True), axis=1)*weights
q = di/np.sum(di) + weights/np.sum(weights) # Only the potentials
# q Only the potentials
q=weights/np.sum(weights)
if np.sum(di): #if all of X's rows are duplicated then sum(di)=0
q += di/np.sum(di)
else:
q = np.copy(weights)
# Renormalize the proposal distribution
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