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.
Zitieren als
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. Abgerufen .
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- AI, Data Science, and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
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Version | Veröffentlicht | Versionshinweise | |
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1.0.0.0 | update descriptions. |