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matlab例程 % EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input da

% EM algorithm for k multidimensional Gaussian mixture estimation % % Inputs: % X(n,d) - input data, n=number of observations, d=dimension of variable % k - maximum number of Gaussian components allowed % ltol - percentage of the log likelihood difference between 2 iterations ([] for none) % ...
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多国语言处理 The angles in degrees of the two spatially propagating signals Compute the array response vectors o

The angles in degrees of the two spatially propagating signals Compute the array response vectors of the two signals Compute the true covariance matrix
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Internet/网络编程 使用INTEL矢量统计类库的程序,包括以下功能: &#61623 Raw and central moments up to 4th order &#61623 Kurtosis and

使用INTEL矢量统计类库的程序,包括以下功能: &#61623 Raw and central moments up to 4th order &#61623 Kurtosis and Skewness &#61623 Variation Coefficient &#61623 Quantiles and Order Statistics &#61623 Minimum and Maximum &#61623 Variance-Covariance/Correlation matrix &#61623 Pooled/Group Varianc ...
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书籍 Probability and Random Processes

Many good textbooks exist on probability and random processes written at the under- graduate level to the research level. However, there is no one handy and ready book that explains most of the essential topics, such as random variables and most of their frequently used discrete and continuous proba ...
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