Clustering Algorithm of Quantum Self-Organization Network Based on Bloch Spherical Rotation

摘要

To enhance the clustering ability of self-organization network, a quantum-inspired self-organization clustering algorithm is proposed based on Bloch spherical rotation. First, the clustering samples are mapped to the qubits on the Bloch sphere by taking all the sample values as the phases of the qubits, and the all weight values in the competitive layer are mapped to the qubits randomly distributed on the Bloch sphere. Then, the winning node is obtained by computing the spherical distance between sample and weight value, and the weight values of the winning nodes and its neighbourhood are updated by rotating them to the sample on the Bloch sphere until the convergence. The clustering results of IRIS sample show that the proposed approach is obviously superior to the classical self-organization network and the K-mean clustering algorithm.