...) and data reduction are the two important data preprocessing steps. In particular, the aims of feature selection and data reduction are to filter out irrelevant features and noisy data samples, respectively. The purpose of this paper, performing these data preprocessing tasks, is to make the mining...

... predictor variables could be granulated to two or three categories with little loss of predictive potential. © Emerald Group Publishing Limited 2004 Cybernetics Cluster analysis Data reduction Dynamics The pathway to useful knowledge is not through the accumulation of information...

... to function representation, data reduction and error correction. The results may have useful applications to fuzzy logics, finding most‐unsymmetric images, fuzzy neural networks and related areas. © MCB UP Limited 1993 Data Reduction Fuzzy Logics This research was supported in part...