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.
MENG (2023). 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. 检索来源 .
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