Bhattacharyya Distance Measure for Pattern Recognition
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.
Citation pour cette source
Yi Cao (2024). Bhattacharyya Distance Measure for Pattern Recognition (https://www.mathworks.com/matlabcentral/fileexchange/18662-bhattacharyya-distance-measure-for-pattern-recognition), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
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Version | Publié le | Notes de version | |
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1.0.0.0 | update descriptions. |