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METHOD OF PROMINENT EXTRACTED FEATURES-BASED UNSUPERVISED MINING OF MULTI-APPLICATIONS OF TIME SERIES AND ELECTRONIC DEVICE SUPPORTING THE SAME

机译:基于突出特征的时间序列和电子设备的多次应用的无监督挖掘的方法

摘要

The present invention relates to a method which comprises the steps of: collecting a multi-application time-series data; calculating a hidden variable of the collected time-series data; harmonic processing for detecting a harmonic mixing weight and harmonics characteristics of the calculated resu removing a phase shift in the harmonic operation; and performing data clustering based on the result of importance of a harmonic element with the phase shift is removed, and a terminal supporting the same.
机译:本发明涉及一种方法,该方法包括以下步骤:收集多应用时间序列数据;以及计算所收集的时间序列数据的隐藏变量;谐波处理,用于检测谐波混合权重和谐波特性的计算结果;消除谐波操作中的相移;并基于具有相移的谐波元素的重要性的结果来执行数据聚类,并且支持该聚类的终端。

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