Man pages for mixture
Mixture Models for Clustering and Classification
| ARI | Adjusted Rand Index |
| e_step | Expectation Step |
| get_best_model | Best Model Extractor |
| ghpcm | Generalized Hyperbolic Parsimonious Clustering Models |
| gpcm | Gaussian Parsimonious Clustering Models |
| main_loop | GPCM Internal C++ Call |
| main_loop_gh | GHPCM Internal C++ Call |
| main_loop_st | STPCM Internal C++ Call |
| main_loop_t | TPCM Internal C++ Call |
| main_loop_vg | VGPCM Internal C++ Call |
| MAP | Maximum _a posterori_ |
| mixture | Mixture Models for Clustering and Classification |
| pcm | Parsimonious Clustering Models |
| stpcm | Skew-t Parsimonious Clustering Models |
| sx2 | Skewed Simulated Data 1 |
| sx3 | Skewed Simulated Data 2 |
| tpcm | Student T Parsimonious Clustering Models |
| vgpcm | Variance Gamma Parsimonious Clustering Models |
| x2 | Simulated Data |
| z_ig_kmeans | K-means Initialization |
| z_ig_random_hard | Random Hard Initialization |
| z_ig_random_soft | Random Soft Initialization |
