Package: skm 0.1.5.4
skm: Selective k-Means
Algorithms for solving selective k-means problem, which is defined as finding k rows in an m x n matrix such that the sum of each column minimal is minimized. In the scenario when m == n and each cell value in matrix is a valid distance metric, this is equivalent to a k-means problem. The selective k-means extends the k-means problem in the sense that it is possible to have m != n, often the case m < n which implies the search is limited within a small subset of rows. Also, the selective k-means extends the k-means problem in the sense that the instance in row set can be instance not seen in the column set, e.g., select 2 from 3 internet service provider (row) for 5 houses (column) such that minimize the overall cost (cell value) - overall cost is the sum of the column minimal of the selected 2 service provider.
Authors:
skm_0.1.5.4.tar.gz
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skm.pdf |skm.html✨
skm/json (API)
# Install 'skm' in R: |
install.packages('skm', repos = c('https://gyang274.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gyang274/skm/issues
- source_zip_list - Source_zip_list
- zip2012 - Zip2012
Last updated 6 years agofrom:4423416695. Checks:OK: 3 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win-x86_64 | OK | Nov 17 2024 |
R-4.5-linux-x86_64 | OK | Nov 17 2024 |
R-4.4-win-x86_64 | NOTE | Nov 17 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 17 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 17 2024 |
R-4.3-win-x86_64 | NOTE | Nov 17 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 17 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 17 2024 |
Exports:col_max_idxcol_max_valcol_min_idxcol_min_valcol_rgn_valdist_wlatlngdist_wlatlng_km_cppdist_wlatlng_mi_cppdistRpl_wlatlng_cppdistSgl_wlatlng_cppskm_gdp_cppskm_minmax_cppskm_mlp_cppskm_mlsskm_mls_cppskm_rgi_cppskm_rgs_cppskm_sgl_cppskmRpl_mlp_cppskmSolutionstratified_sampling
Dependencies:data.tablemagrittrplyrRcppRcppArmadilloRcppParallel
Readme and manuals
Help Manual
Help page | Topics |
---|---|
col_max_idx | col_max_idx |
col_max_val | col_max_val |
col_min_idx | col_min_idx |
col_min_val | col_min_val |
col_rgn_val | col_rgn_val |
dist_wlatlng | dist_wlatlng |
dist_wlatlng_cpp | distRpl_wlatlng_cpp distSgl_wlatlng_cpp dist_wlatlng_cpp dist_wlatlng_km_cpp dist_wlatlng_mi_cpp |
skm_gdp_cpp | skm_gdp_cpp |
skm_minmax_cpp | skm_minmax_cpp |
skm_mlp_cpp | skm_mlp_cpp |
skm_mls | skm_mls |
skm_mls_cpp | skm_mls_cpp |
skm_rgi_cpp | skm_rgi_cpp |
skm_rgs_cpp | skm_rgs_cpp |
skm_sgl_cpp | skm_sgl_cpp |
skmRpl_mlp_cpp | skmRpl_mlp_cpp |
skmSolution | Rcpp_skmSolution Rcpp_skmSolution-class skmSolution |
source_zip_list | source_zip_list |
stratified_sampling | stratified_sampling |
zip2012 | zip2012 |