NMF-package: NMF: Algorithms and Framework for Nonnegative Matrix...

Description References See Also Examples

Description

This package provides a framework to perform Non-negative Matrix Factorization (NMF). It implements a set of already published algorithms and seeding methods, and provides a framework to test, develop and plug new/custom algorithms. Most of the built-in algorithms have been optimized in C++, and the main interface function provides an easy way of performing parallel computations on multicore machines.

References

https://cran.r-project.org/

https://renozao.github.io/NMF

See Also

nmf

Examples

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# generate a synthetic dataset with known classes
n <- 50; counts <- c(5, 5, 8);
V <- syntheticNMF(n, counts)

# perform a 3-rank NMF using the default algorithm
res <- nmf(V, 3)

basismap(res)
coefmap(res)

renozao/NMF documentation built on June 14, 2020, 9:35 p.m.