A physically-informed fuzzy clustering method based on expectation-maximization and parabolic ionospheric layer models segments vertical sounding ionograms into tracks and selects the optimal track count by minimizing a modified Bayesian information criterion.
V., Sridhar, M., and Ratnam, D
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.ao-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms
A physically-informed fuzzy clustering method based on expectation-maximization and parabolic ionospheric layer models segments vertical sounding ionograms into tracks and selects the optimal track count by minimizing a modified Bayesian information criterion.