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This paper reports optimization efforts on a layered search space method aimed at accelerating the recognition of a large prototype set. The layered search space method classifies similar prototypes into clusters. Representative prototypes, each for one of these clusters, are then selected and further classified into higher-level clusters, and so on. In finding a prototype, we first identify the highest-level...
Automatic text classification is one of important fields in intelligent information process. Most researchers focus on statistic method (Rocchio, SVM, KNN etc.) which is based on vector space model (VSM) representing text. On the basis of analyzing their disadvantages, a new method -automatic text classification based on background knowledge is proposed in this paper. This method is to simulate the...
It is the core problem in building a fuzzy classification system to extract an optimal group of fuzzy classification rules from fuzzy data set. A new kind of algorithm is proposed for fuzzy rules' generating in this work. The idea behind the algorithm is mainly based on both, concepts of data mining and particle swarm optimization (PSO) algorithm. A fuzzy information entropy based measure which generalizes...
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