Description: Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data samples 2, using the C++ or Matlab programming environment to realize the algorithm, and with a given data packet to the algorithm correctness testing
- [gaussmix(Bouman)M] - Gaussian mixture model for the clusterin
- [EM] - The data used to estimate the unknown EM
- [NDA_EM_16qam] - EM algorithm using the estimated signal
File list (Check if you may need any files):
GMM_background_src\cha.m
..................\data1.m
..................\data2.m
..................\Gao.m
..................\junzhi.m
..................\main.m
..................\Out.m
..................\xie_matrix.m
..................\Z.m
..................\Z_matrix.m
..................\运行的结果.txt
GMM_background_src
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