Data mining, unsupervised learning and Bayesian ying-yang theory

Lei Xu

Abstract: A number of unsupervised learning methods or algorithms have been summarized from the perspective of their potential uses in data mining. Major unsupervised learning tasks are then systematically viewed under a unified framework called Bayesian ying-yang (BYY) learning. Furthermore, it is shown systematically how the BYY learning theory can guide us not only to revisit the existing major unsupervised learning methods and results, but also to obtain a number of new methods and results.