Assessment of Stability of Individual Objects or Clusters in
Partitioning Solutions

R (>= 2.2.4), Rcpp, clusterCrit, cluster, copula (>= 0.999),
WeightedCluster
Etienne Lord, Matthieu Willems, Francois-Joseph Lapointe, and Vladimir
Makarenkov
Allows one to assess the stability of individual objects, clusters
and whole clustering solutions based on repeated runs of the K-means and K-medoids
partitioning algorithms.

Location and Visualization of Clustered Somatic Mutations
person("David", "Lora", email = "david@h12o.es", role = c("aut", "cre"))
Identification and visualization of groups of closely spaced mutations in the DNA sequence of cancer genome. The extremely mutated zones are searched in the symmetric dissimilarity matrix using the anti-Robinson matrix properties. Different data sets are obtained to describe and plot the clustered mutations information.

Execution of Multiple Clustering Packages
Luis Alfonso Perez Martos <lapm0001@gmail.com>
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.
apcluster, cluster, ClusterR, advclust, pvclust, gama, amap,
stats, pracma, tools, gmp, utils, xtable, sqldf, data.table

Execution of Multiple Clustering Algorithm

apcluster, cluster, ClusterR, advclust, pvclust, gama, amap,
stats, pracma, tools, gmp, utils, xtable, sqldf, data.table,
tidyverse, kableExtra

apcluster, cluster, ClusterR, advclust, pvclust, gama, amap,
stats, pracma, tools, gmp, utils, xtable, sqldf, data.table,
tidyverse, kableExtra, ggplot2

apcluster, cluster, ClusterR, advclust, pvclust, gama, amap,
stats, pracma, tools, gmp, utils, xtable, sqldf, data.table,
ggplot2, glue

advclust, amap, apcluster, cluster, ClusterR, data.table,
doParallel, dplyr, foreach, future, gama, ggplot2, gmp, pracma,
pvclust, shiny, sqldf, stats, tools, utils, xtable
DT, kableExtra, knitr, rmarkdown, shinyalert, shinyFiles,
shinyjs, shinythemes, shinyWidgets, tidyverse, shinycssloaders