Package: dTBM 3.0
dTBM: Multi-Way Spherical Clustering via Degree-Corrected Tensor Block Models
Implement weighted higher-order initialization and angle-based iteration for multi-way spherical clustering under degree-corrected tensor block model. See reference Jiaxin Hu and Miaoyan Wang (2023) <doi:10.1109/TIT.2023.3239521>.
Authors:
dTBM_3.0.tar.gz
dTBM_3.0.zip(r-4.5)dTBM_3.0.zip(r-4.4)dTBM_3.0.zip(r-4.3)
dTBM_3.0.tgz(r-4.4-any)dTBM_3.0.tgz(r-4.3-any)
dTBM_3.0.tar.gz(r-4.5-noble)dTBM_3.0.tar.gz(r-4.4-noble)
dTBM_3.0.tgz(r-4.4-emscripten)dTBM_3.0.tgz(r-4.3-emscripten)
dTBM.pdf |dTBM.html✨
dTBM/json (API)
| # Install 'dTBM' in R: |
| install.packages('dTBM', repos = c('https://jhu267.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:3416692dc2. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | NOTE | Nov 23 2024 |
| R-4.5-linux | NOTE | Nov 23 2024 |
| R-4.4-win | NOTE | Nov 23 2024 |
| R-4.4-mac | NOTE | Nov 23 2024 |
| R-4.3-win | NOTE | Nov 23 2024 |
| R-4.3-mac | NOTE | Nov 23 2024 |
Exports:angle_iterationas.tensordtbmfoldkronecker_listrand_tensorselect_rsim_dTBMttlttmunfoldwkmeans
Dependencies:bootcliclustercodetoolscolorspacedigestdoFutureEnvStatsfansifarverfastclusterforeachfuturefuture.applyggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmennetnortestparallellypermutepillarpkgconfigprogressrR6RColorBrewerrlangscalestibbleTraMineRutf8vctrsveganvegclustviridisLiteWeightedClusterwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Angle-based iteration | angle_iteration |
| Tensor Conversion | as.tensor |
| Mode Getter for Tensor | dim,Tensor-method dim-methods |
| Multiway spherical clustering for degree-corrected tensor block model | dtbm |
| General Folding of Matrix | fold |
| HCP data | HCP |
| List Kronecker Product | kronecker_list |
| Peru Legislation data | peru |
| Tensor with Random Entries | rand_tensor |
| Cluster number selection | select_r |
| Simulation of degree-corrected tensor block models | sim_dTBM |
| S4 Class for a Tensor | Tensor Tensor-class |
| Tensor Times List | ttl |
| Tensor Matrix Product (m-Mode Product) | ttm |
| Tensor Unfolding | unfold unfold,Tensor-method unfold-methods |
| Weighted higher-order initialization | wkmeans |
