The m-file provides a tool to calculate the Bhattacharyya Distance Measure (BDM) between two classes of normal distributed data. The BDM is widely used in Pattern Recognition as a criterion for Feature Selection.
Directly calculation may result in divide by zero error due to possible (near) singularity of cov(X1)*cov(X2). The improved code uses the Cholesky factorization for the normal cases but uses sqrtm for near singular cases.
引用
Yi Cao (2025). Bhattacharyya Distance Measure for Pattern Recognition (https://www.mathworks.com/matlabcentral/fileexchange/18662-bhattacharyya-distance-measure-for-pattern-recognition), MATLAB Central File Exchange. に取得済み.
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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