RUSSIAN JOURNAL OF EARTH SCIENCES, VOL. 19, ES3003, doi:10.2205/2019ES000664, 2019
Figure 2. The effect of the scale factor $\lambda$ on the nearest point selection. Anisotropy of data distribution leads to nearest neighbors are within the same measurement group for any point (A). Scaling the horizontal axes corrects this situation (B).
Citation: Aleshin I. M., I. V. Malygin (2019), Machine learning approach to inter-well radio wave survey data imaging, Russ. J. Earth Sci., 19, ES3003, doi:10.2205/2019ES000664.
Copyright 2019 by the Geophysical Center RAS.
Generated from LaTeX source by ELXpaper, v.2.0 software package.