Fuzzy Clustering Algorithm for Categorical Data Using Quantum Mechanics
Shitong Wang · Jisuanji fangzhen · 2008
Categorical data are often unbalancedly distributed. Their distributions are often unrelated with their distance measure. These characteristics are very similar to the particle world in quantum mechanism,therefore,based on quantum clustering,a novel categorical quantum clustering CQC algorithm was proposed by rewriting the distance_based quantum potential equation and defining the new dissimilarity measure. Its validity was discussed. Several experimental results about categorical datasets demonstrate that the proposed algorithm outperforms the hard K-modes,fuzzy K-modes and conceptual K-means algorithms.