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Was using the low decomposition data classification, pattern recognition and analysis of large-capacity multi-dimensional data set of
Was using the low decomposition data classification, pattern recognition and analysis of large-capacity multi-dimensional data set of
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机译:使用低分解数据分类,模式识别和分析的大容量多维数据集
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摘要
Provides a classification rule that at least one user-defined for partitioning the data into segments definable number by the user, (57) device method of the summary of the present invention, and systems, is divided at least one rule I applied to the data. The data is given in the form of a table, division one rule can be applied to a column of a table of at least one selected by the user at least. The classification rules, by defining a breakpoint corresponding to segments definable number by the user and is applied to the data segments at least one rule, the data is divided into segments based on the breakpoint. Data is divided is displayed by the display so as to emphasize visual classification, according to the rules, the coloring aspects of the data.
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