Man pages for zdebruine/RcppML
Rcpp Machine Learning Library
| align | Align two NMF models |
| align_models | Align two matrices with bipartite matching |
| aml | Acute Myelogenous Leukemia cells |
| bipartiteMatch | Bipartite graph matching |
| bipartition | Bipartition a sample set |
| biplot-nmf-method | Biplot for NMF factors |
| cosine | Cosine similarity |
| crossValidate | Cross-validation for NMF |
| dclust | Divisive clustering |
| evaluate | Evaluate an NMF model |
| hawaiibirds | Bird species frequency in Hawaii |
| lnmf | Linked non-negative matrix factorization |
| movielens | Movie ratings |
| mse | Mean squared error of factor model |
| nmf | Non-negative matrix factorization |
| nmf-class-methods | nmf class methods |
| nnls | Non-negative least squares |
| project | Project a model onto new data |
| random | Random distributions and samples |
| RcppML | RcppML: Rcpp Machine Learning Library |
| r_matrix | Random transpose-identical dense/sparse matrix |
| simulateNMF | Simulate an NMF dataset |
| sparsity | Compute the sparsity of each NMF factor |
| summary-nmf-method | Summarize NMF factors |
