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. 2021 May 26;21(11):3703. doi: 10.3390/s21113703

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© 2021 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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A statistical graph of the average distance of KNN: this average distance is used to evaluate the degree of data dispersion. We calculated three evaluation parameters for the initial and several filtered data. The standard deviation is expressed as $σ$ . The mean variation is expressed as $σ_{\bar{x}}$ . The range is expressed as $R$ . (a) A statistical graph of the raw data, (b) a statistical graph of the data filtered by the artificial filter, (c) a statistical graph of the data filtered by the SOR filter, (d) a statistical graph of the data filtered by the VGSOR filter, (e) a statistical graph of the data filtered by the ROR filter, (f) a statistical graph of the data filtered by the Gaussian filter, (g) a statistical graph of the data filtered by the DON filter, and (h) a statistical graph of the data filtered by the GPCA method are presented.

A statistical graph of the average distance of KNN: this average distance is used to evaluate the degree of data dispersion. We calculated three evaluation parameters for the initial and several filtered data. The standard deviation is expressed as $σ$ . The mean variation is expressed as $σ_{\bar{x}}$ . The range is expressed as $R$ . (a) A statistical graph of the raw data, (b) a statistical graph of the data filtered by the artificial filter, (c) a statistical graph of the data filtered by the SOR filter, (d) a statistical graph of the data filtered by the VGSOR filter, (e) a statistical graph of the data filtered by the ROR filter, (f) a statistical graph of the data filtered by the Gaussian filter, (g) a statistical graph of the data filtered by the DON filter, and (h) a statistical graph of the data filtered by the GPCA method are presented.