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M2SMJF
View on CRAN: Click
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Download and install M2SMJF package within the R console
Install from CRAN:
install.packages("M2SMJF")
Install from Github:
library("remotes")
install_github("cran/M2SMJF") Install by package version:
library("remotes")
install_version("M2SMJF", "1.0") Attach the package and use:
library("M2SMJF")
Maintained by
Xiaoyao Yin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-23
Latest Update: 2020-11-23
Description:
A new method to implement clustering from multiple modality data of certain samples,
the function M2SMjF() 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.
How to cite:
Xiaoyao Yin (2020). M2SMJF: Multi-Modal Similarity Matrix Joint Factorization. R package version 1.0, https://cran.r-project.org/web/packages/M2SMJF. Accessed 02 Jul. 2026.
Previous versions and publish date:
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Complete documentation for M2SMJF
Functions, R codes and Examples using
the M2SMJF R package
Some associated functions: Cal_NMI . M2SMJF . Standard_Normalization . affinityMatrix . cost . dist2bin . dist2chi . dist2eu . initialization . initialize_WL . new_modularity . simu_data_gen . update_L . update_alpha .
Some associated R codes: Cal_NMI.R . M2SMJF.R . Standard_Normalization.R . affinityMatrix.R . cost.R . dist2bin.R . dist2chi.R . dist2eu.R . initialization.R . initialize_WL.R . new_modularity.R . simu_data_gen.R . update_L.R . update_alpha.R . Full M2SMJF package functions and examples
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