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Information classification device, information classification method, information classification program, information classification system

机译:信息分类装置,信息分类方法,信息分类程序,信息分类系统

摘要

An information classifying device calculates, for a plurality of populations containing pieces of sample information, evaluation distance between a center of gravity of the pieces of sample information belonging to each population and a piece of sample information as an object of classification (object sample), calculates statistical information such as mean, variance and standard deviation of the evaluation distance for each population, evaluates the evaluation distance of the sample information to the population based on the evaluation distance and the statistical information and evaluates degree of assignment relevancy of the object sample to the population, determines to which population the object sample is to be assigned in accordance with the degree of assignment relevancy, and assigns the object sample to the population. Evaluation distance between the center of gravity of each updated population and the object sample belonging to each population is calculated. If the degree of assignment relevancy to every population is out of a prescribed range, a new population is formed, and the object sample is assigned to the new population. Thus, autonomous and stable classification of object sample to a population becomes possible.
机译:信息分类装置针对包含样本信息的多个种群计算属于每个种群的样本信息的重心与作为分类对象的样本信息(对象样本)之间的评价距离,计算每个总体的评估距离的统计信息(例如均值,方差和标准差),根据评估距离和统计信息评估样本信息与总体的评估距离,并评估目标样本与总体,根据分配相关程度确定将目标样本分配给哪个总体,并将目标样本分配给总体。计算每个更新的总体的重心与属于每个总体的对象样本之间的评估距离。如果与每个总体的分配相关性程度超出规定范围,则会形成新的总体,并将对象样本分配给新的总体。因此,可以将目标样本自动稳定地分类到总体上。

著录项

  • 公开/公告号JP4550882B2

    专利类型

  • 公开/公告日2010-09-22

    原文格式PDF

  • 申请/专利权人 シャープ株式会社;

    申请/专利号JP20070503580

  • 发明设计人 伊原 正典;

    申请日2005-11-17

  • 分类号G06F17/30;

  • 国家 JP

  • 入库时间 2022-08-21 18:59:40

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