| 
    mlpack
    master
    
   | 
 
| ▼Nboost | |
| Nserialization | |
| ▼Nmlpack | Linear algebra utility functions, generally performed on matrices or vectors | 
| Nadaboost | |
| Namf | Alternating Matrix Factorization | 
| Nann | Artificial Neural Network | 
| ▼Nbound | |
| Naddr | |
| Nmeta | Metaprogramming utilities | 
| Ncf | Collaborative filtering | 
| Ndata | Functions to load and save matrices and models | 
| Ndbscan | |
| Ndecision_stump | |
| Ndet | Density Estimation Trees | 
| Ndistribution | Probability distributions | 
| Nemst | Euclidean Minimum Spanning Trees | 
| Nfastmks | Fast max-kernel search | 
| Ngmm | Gaussian Mixture Models | 
| Nhmm | Hidden Markov Models | 
| Nkernel | Kernel functions | 
| Nkmeans | K-Means clustering | 
| Nkpca | |
| Nlcc | |
| Nmath | Miscellaneous math routines | 
| Nmatrix_completion | |
| Nmeanshift | Mean shift clustering | 
| Nmetric | |
| Nmvu | |
| Nnaive_bayes | The Naive Bayes Classifier | 
| Nnca | Neighborhood Components Analysis | 
| Nneighbor | Neighbor-search routines | 
| Nnn | |
| ▼Noptimization | |
| Ntest | |
| Npca | |
| Nperceptron | |
| Nradical | |
| Nrange | Range-search routines | 
| Nregression | Regression methods | 
| Nsparse_coding | |
| Nsvd | |
| ▼Ntree | Trees and tree-building procedures | 
| Nsplit | |
| Nutil | |
| Nstd | 
 1.8.11