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Provides an l1-version of the spectral clustering algorithm devoted to robustly clustering highly perturbed graphs using l1-penalty. This algorithm is described with more details in the preprint C. Champion, M. Champion, M. Blazère, R. Burcelin and J.M. Loubes, "l1-spectral clustering algorithm: a spectral clustering method using l1-regularization" (2022).
| Version: | 0.99.6 |
| Imports: | Rcpp (≥ 0.12.5), stats, dplyr, graphics, igraph, Matrix, aricode, grDevices, caret, glmnet, ggplot2, cvTools |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2022-01-26 |
| DOI: | 10.32614/CRAN.package.l1spectral |
| Author: | Camille Champion [aut], Magali Champion [aut, cre] |
| Maintainer: | Magali Champion <magali.champion at u-paris.fr> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | l1spectral results |
| Reference manual: | l1spectral.pdf |
| Package source: | l1spectral_0.99.6.tar.gz |
| Windows binaries: | r-devel: l1spectral_0.99.6.zip, r-release: l1spectral_0.99.6.zip, r-oldrel: l1spectral_0.99.6.zip |
| macOS binaries: | r-release (arm64): l1spectral_0.99.6.tgz, r-oldrel (arm64): l1spectral_0.99.6.tgz, r-release (x86_64): l1spectral_0.99.6.tgz, r-oldrel (x86_64): l1spectral_0.99.6.tgz |
| Old sources: | l1spectral archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.