Hand-Write K-Means Clustering (NumPy)

Examples Example Requirements Build K-means yourself with NumPy as the only library; do not rely on scikit-learn or SciPy. Use the standard interface below. Here, X is shaped (n, d), the returned centroids array is (k, d), and labels is (n,). Choose the initial centers by randomly selecting rows of the input data; k-means++ may be requested afterward. Perform assignment followed by center recomputation for n_iter iterations, unless the labels are unchanged or centroid drift…