Algorithms and framework for Nonnegative Matrix Factorization (NMF)
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.
Details
| Package: | NMF |
| Type: | Package |
| Version: | 0.22 |
| Date: | 2014-12-04 |
| License: | GPL (>=2) |
| LazyLoad: | yes |
Examples
# 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)
