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A new method to implement clustering from multiple modality data of certain samples, the function M2SMF() jointly factorizes multiple similarity matrices into a shared sub-matrix and several modality private sub-matrices, which is further used for clustering. Along with this method, we also provide function to calculate the similarity matrix and function to evaluate the best cluster number from the original data.
| Version: | 2.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | dplyr, MASS, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-11-17 |
| DOI: | 10.32614/CRAN.package.M2SMF |
| Author: | Xiaoyao Yin [aut, cre] |
| Maintainer: | Xiaoyao Yin <yinxy1992 at sina.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | M2SMF results |
| Reference manual: | M2SMF.pdf |
| Vignettes: |
An Introduction to the package M2SMF |
| Package source: | M2SMF_2.0.tar.gz |
| Windows binaries: | r-devel: M2SMF_2.0.zip, r-release: M2SMF_2.0.zip, r-oldrel: M2SMF_2.0.zip |
| macOS binaries: | r-release (arm64): M2SMF_2.0.tgz, r-oldrel (arm64): M2SMF_2.0.tgz, r-release (x86_64): M2SMF_2.0.tgz, r-oldrel (x86_64): M2SMF_2.0.tgz |
| Old sources: | M2SMF 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.