lfda: Local Fisher Discriminant Analysis in R

R Submitted 13 July 2019Published 30 July 2019
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Editor: @arfon (all papers)
Reviewers: @sctyner (all reviews), @strengejacke (all reviews)

Authors

Yuan Tang (0000-0001-5243-233X), Wenxuan Li

Citation

Tang et al., (2019). lfda: Local Fisher Discriminant Analysis in R. Journal of Open Source Software, 4(39), 1572, https://doi.org/10.21105/joss.01572

@article{Tang2019, doi = {10.21105/joss.01572}, url = {https://doi.org/10.21105/joss.01572}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {39}, pages = {1572}, author = {Yuan Tang and Wenxuan Li}, title = {`lfda`: Local Fisher Discriminant Analysis in `R`}, journal = {Journal of Open Source Software} }
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distance metric learning statistics clustering machine learning dimensionality reduction local fisher discriminant analysis

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ISSN 2475-9066