Decision boundary for KMeans clustering algorithm
Can you post a picture of the plot here and maybe some reproducible code? My understanding with the info you've given is that the contour plot is not actually plotting a decision boundary. In fact, I think its not really helpful to think about k-means as producing a decision boundary. At the end of iteration you have K centroids and 'classify' points based on which centroid it is closest to.