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Method and computer program product for producing a record clustering with estimated clustering accuracy metrics with confidence intervals

机译:用于产生具有置信区间的估计聚类精度度量的记录聚类的方法和计算机程序产品

摘要

A method is provided for producing a record clustering with estimated accuracy metrics with confidence intervals. These metrics can be used to determine whether a clustering should be accepted as the output of the system, and whether model training is necessary to meet desired clustering accuracy. A collection of test records is used in the process, wherein each test record is a member of a collection of input records.
机译:本发明提供了一种用于生成具有置信区间的估计精度度量的记录聚类的方法。这些指标可用于确定是否应将聚类作为系统的输出,以及是否需要进行模型训练以满足所需的聚类精度。在该过程中使用测试记录的集合,其中每个测试记录都是输入记录集合的成员。

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