Title: Color Palettes Inspired by National Parks
Authors@R: c(person(given = "Kevin", family = "Blake", role = c("aut", "cre"), email = "kevinsblake@gmail.com"))
Description: Color palettes for data visualization inspired by National Parks. Currently contains 15 color schemes and checks for colorblind-friendliness of palettes.

Title: Animal Sounds for Bioacustic Analysis
Description: Collection of example animal sounds for bioacoustic analysis.

Authors@R: person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marceloa27@gmail.com")

Authors@R: person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marcelo.araya@ucr.ac.cr")

Title: An examination of indices for determining the number of clusters
Author: Malika Charrad <malika.charrad.1@ulaval.ca> and Nadia Ghazzali
Maintainer: : Nadia Ghazzali <nadia.ghazzali@mat.ulaval.ca>
Description: This package provides most of the popular indices for
cluster validation ready to use for the outputs produced by
functions coming from the same package. It also proposes to
user the best clustering scheme from the different results
obtained by varying all combinations of number of clusters,
distance measures, and clustering methods.

Packaged: 2013-02-18 13:58:24 UTC; Administrateur

Author: Malika Charrad <malika.charrad.1@ulaval.ca> and
Description: This package provides most of the popular indices for cluster validation ready to use for the outputs produced by functions coming from the same package. It also proposes to user the best clustering scheme from the different results obtained by varying all combinations of number of clusters, distance measures, and clustering methods.
Packaged: 2013-08-17 12:00:06 UTC; Administrateur

Title: NbClust package for determining the best number of clusters
Description: NbClust package provides 30 indices for determining the optimal number of clusters in a dataset.

Title: Determining the Best Number of Clusters in a Data Set
Author: Malika Charrad and Nadia Ghazzali and Veronique Boiteau and Azam Niknafs
Description: It provides 30 indexes for determining the optimal number of clusters in a data set and offers the best clustering scheme from different results to the user.