The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

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 gain access to array functionality.

NumPy is one of the most common Python tools developers and data scientists use for assistance with computing at scale. It provides libraries and techniques for working with arrays and matrices ...