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