Following up on my recent article titled, “Maximum Quantum Classification,” in which I started with the data points already mapped to qubits and grouped together, here is an algorithm for doing the initial grouping of the data points. This algorithm is inspired by centroid-based clustering, with which you plot however many data points you have, calculate a number of centroids (center points), and group the data points by their proximity to the centroids…
