If x is a vector, find the univariate pseudo-median of x.
If x is a matrix, compute the univariate pseudo-median value for each column and return them in a row vector. If the optional argument dim is given, operate along this dimension. Arrays of more than two dimensions are not currently supported.
The pseudo-median is the Hodges-Lehmann estimator of centrality, which is robust having a breakdown point of 0.29.
Citation pour cette source
Andrew Penn (2024). pseudomedian (https://www.mathworks.com/matlabcentral/fileexchange/53005-pseudomedian), MATLAB Central File Exchange. Récupéré le .
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- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Dimensionality Reduction and Feature Extraction >
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Version | Publié le | Notes de version | |
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1.0.0.0 |