Two novel methods for heart disease prediction, which use the kurtosis of features and Maxwell–Boltzmann distribution, are presented. A Majority Voting approach is applied, two base classifiers derived through statistical weight calculation. First, exploitation attribute Kolmogorov–Smirnov test (KS test) result done by plugging categorizer into a Bagging Classifier. Second, fitting Maxwell rand...

Remote sensing change detection (CD) plays an important role in Earth observation. In this paper, we propose a novel fusion approach for unsupervised CD of multispectral remote images, by introducing majority voting (MV) into fuzzy topological space (FTMV). The proposed FTMV consists three principal stages: (1) the results different difference images produced C-means algorithm are combined usin...