The design of this package allows us to run different clustering packages and compare the results between them, to determine which algorithm behaves best from the data provided.
| Version: |
1.7.7 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
amap, apcluster, cluster, ClusterR, data.table, doParallel, dplyr, foreach, future, ggplot2, gmp, methods, pracma, pvclust, shiny, sqldf, stats, tools, utils, xtable, toOrdinal |
| Suggests: |
DT, shinyalert, shinyFiles, shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders |
| Published: |
2022-06-22 |
| Author: |
Luis Alfonso Perez Martos [aut, cre] |
| Maintainer: |
Luis Alfonso Perez Martos <lapm0001 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/laperez/clustering |
| NeedsCompilation: |
no |
| CRAN checks: |
Clustering results |