| pmclust-package | Parallel Model-Based Clustering |
| .PMC.CT | A Set of Controls in Model-Based Clustering. |
| .pmclustEnv | Set Global Variables According to the global matrix X.gbd (X.spmd) |
| aecm.step | EM-like Steps for GBD |
| apecm.step | EM-like Steps for GBD |
| apecma.step | EM-like Steps for GBD |
| assign.N.sample | Obtain a Set of Random Samples for X.spmd |
| CHECK | Read Me First Function |
| CLASS.spmd | Read Me First Function |
| COMM.RANK | Read Me First Function |
| COMM.SIZE | Read Me First Function |
| CONTROL | A Set of Controls in Model-Based Clustering. |
| e.step | Compute One E-step and Log Likelihood Based on Current Parameters |
| em.onestep | One EM Step for GBD |
| em.step | EM-like Steps for GBD |
| em.update.class | Update CLASS.spmd Based on the Final Iteration |
| ETA | A Set of Parameters in Model-Based Clustering. |
| generate.basic | Generate Examples for Testing |
| generate.MixSim | Generate MixSim Examples for Testing |
| get.CLASS | Obtain Total Elements for Every Clusters |
| get.N.CLASS | Obtain Total Elements for Every Clusters |
| indep.logL | Independent Function for Log Likelihood |
| initial.center | Initialization for EM-like Algorithms |
| initial.em | Initialization for EM-like Algorithms |
| initial.RndEM | Initialization for EM-like Algorithms |
| kmeans.step | EM-like Steps for GBD |
| kmeans.update.class | Update CLASS.spmd Based on the Final Iteration |
| m.step | Compute One M-Step Based on Current Posterior Probabilities |
| mb.print | Print Results of Model-Based Clustering |
| MU | A Set of Parameters in Model-Based Clustering. |
| p.times.logtwopi | Read Me First Function |
| PARAM | A Set of Parameters in Model-Based Clustering. |
| PARAM.org | A Set of Parameters in Model-Based Clustering. |
| pkmeans | Parallel Model-Based Clustering and Parallel K-means Algorithm |
| pmclust | Parallel Model-Based Clustering and Parallel K-means Algorithm |
| print.pkmeans | Functions for Printing or Summarizing Objects According to Classes |
| print.pmclust | Functions for Printing or Summarizing Objects According to Classes |
| readme | Read Me First Function |
| SAVE.iter | Read Me First Function |
| SAVE.param | Read Me First Function |
| set.global | Set Global Variables According to the global matrix X.gbd (X.spmd) |
| set.global.gbd | Set Global Variables According to the global matrix X.gbd (X.spmd) |
| SIGMA | A Set of Parameters in Model-Based Clustering. |
| U.spmd | Read Me First Function |
| W.spmd | Read Me First Function |
| W.spmd.rowSums | Read Me First Function |
| X.gbd | Set Global Variables According to the global matrix X.gbd (X.spmd) |
| X.spmd | Set Global Variables According to the global matrix X.gbd (X.spmd) |
| Z.colSums | Read Me First Function |
| Z.spmd | Read Me First Function |