display(raw_data, clustering, k) print("\nEnd k-means demo ") if __name__ == "__main__": main() The demo uses Python 3.5 in the Anaconda 4.1.1 distribution. The program imports the NumPy package to ...

This framework integrates the classical self-organizing feature map (SOM) neural network with the powerful capabilities of quantum computing, enabling efficient data clustering in an unsupervised ...

With it comes support for R and Python 3 — two languages in wide use by data crunchers — as well as better leveraging of containers and cluster management tools used to manage distributed work.