Robust Spatial Gaussian Mixture Model (SGMM) and Background Adjustment
Version 1.0 (460 KB) by
MENG
Robust estimation of Spatial Gaussian mixture models and various ways to adjust background.
It estimates unknown parameters in a spatial Gaussian mixture models using a robust EM algorithm. It also provides various ways (soft assignment or hard assignment) to standardize the observations (i.e. background adjustment) such that the resulting scores are like standard normal.
Cite As
MENG (2024). Robust Spatial Gaussian Mixture Model (SGMM) and Background Adjustment (https://www.mathworks.com/matlabcentral/fileexchange/56812-robust-spatial-gaussian-mixture-model-sgmm-and-background-adjustment), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2015a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
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