pycluster | Python Clustering - Including PAM and Clara algorithms

I am trying CLARANS clustering with pyclustering module, but for all the data I've tried clarans(data, number_clusters, numlocal, maxneighbor) all the methods returns [] (an empty list) no matter what the parameter values are. I made a random data to test the method, but the answer is the same, the only data that works is the iris data datasets.load_iris() form sklearn module. Am I doing something wrong?

This is the testing data:

I like try the k-mediod clustering method (PAM) over the dataset https://archive.ics.uci.edu/ml/datasets/seeds

I don't know whether there exists other libraries other than pyclustering for this purpose. Anyway, how can I compute Silhouette coefficient for the clustering using this library? It don't provide such a method as an k-means with sklearn.

I want to cluster some data in R with library from Python (pyclustering). I am using reticulate package to do this:

On wikipedia, there is a description of how to initialize the kmeans cluster locations according to a random method.

In pyclustering, a python clustering library, the various clusters are implemented with a high performance c-core. This core is faster than numpy/sklearn, so I want to avoid implementing anything in sklearn/numpy (or else I might lose the speedy feel of the code right now).

However, the kmeans class requires an initial cluster location list to get going. What is the intended method of initializing these cluster locations in pyclustering?