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Analysis and pattern recognition in large, multidimensional data sets using low-resolution data grouping
Analysis and pattern recognition in large, multidimensional data sets using low-resolution data grouping
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机译:使用低分辨率数据分组对大型多维数据集进行分析和模式识别
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摘要
Methods, systems and devices for operating on data provide at least one user-defined grouping rule for grouping the data into a user-definable number of groups; and apply at least one of the grouping rules to the data. The data may be in a table, wherein the at least one grouping rule applies to at least one user-selectable column of the table. The grouping rule defines breakpoints corresponding to the user-definable number of groups, and application of the at least one rule to the data divides the data into groups based on the breakpoints. The grouped data is presented in a manner that visually distinguishes the groups, sometimes by coloring an aspect of the data according to the rules.
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