I run a clustering algorithm and want to evaluate the result by using silhouette score in scikit-learn. But in the scikit-learn, it needs to calculate the distance matrix: distances = pairwise_distances(X, metric=metric, **kwds)

Due to the fact that my data is order of 300K, and my memory is 2GB, and the result is out of memory. And I can not evaluate the clustering result.

Does anyone know how to overcome this problem?