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k neighbor method associative memory

机译:k邻居法联想记忆

摘要

A k-nearest neighbors associative memory includes: a clock counting type associative memory that holds R pieces of reference data and outputs, for each of the R pieces of reference data, a match signal that becomes active when a clock count corresponding to a distance between the reference data and given search data has been reached; and a k-nearest neighbors clustering circuit that, every time at least one of the R match signals output from the clock counting type associative memory becomes active, selects a piece of class data, out of R pieces of class data representing classes of the R pieces of reference data, corresponding to each of the at least one active match signal, until k match signals out of the R match signals become active, and determines a class having a largest number of pieces of data when the selected total k pieces of class data are classified.
机译:K个最邻近邻居关联存储器包括:时钟计数型关联存储器,其保存R条参考数据,并且针对R条参考数据中的每条输出匹配信号,该匹配信号在时钟计数对应于两者之间的距离时变为有效。已达到参考数据和给定的搜索数据;和k近邻聚类电路,每当从时钟计数类型关联存储器输出的R个匹配信号中的至少一个激活时,就从代表R个类别的R个类别数据中选择一个类别数据。基准数据的块,对应于每个所述至少一个有源匹配信号,直到ķ匹配信号进行将R匹配信号变为有效,并且确定具有数据块的最大数量的一类时所选择的类的总k个数据被分类。

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