文件名称:GMM_background_src
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基于有限混合高斯模型的数据分类
1、使用基于有限高斯混合模型的EM算法对数据样本进行归类
2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验
-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
1、使用基于有限高斯混合模型的EM算法对数据样本进行归类
2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验
-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
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下载文件列表
GMM_background_src/cha.m
GMM_background_src/data1.m
GMM_background_src/data2.m
GMM_background_src/Gao.m
GMM_background_src/junzhi.m
GMM_background_src/main.m
GMM_background_src/Out.m
GMM_background_src/xie_matrix.m
GMM_background_src/Z.m
GMM_background_src/Z_matrix.m
GMM_background_src/运行的结果.txt
GMM_background_src
GMM_background_src/data1.m
GMM_background_src/data2.m
GMM_background_src/Gao.m
GMM_background_src/junzhi.m
GMM_background_src/main.m
GMM_background_src/Out.m
GMM_background_src/xie_matrix.m
GMM_background_src/Z.m
GMM_background_src/Z_matrix.m
GMM_background_src/运行的结果.txt
GMM_background_src
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