NMF-package | R Documentation |

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.

`nmf`

Run a given NMF algorithm

Renaud Gaujoux renaud@cbio.uct.ac.za

`nmf`

```
# 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)
```

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