MCSim

Determine the Optimal Number of Clusters

Identifies the optimal number of clusters by calculating the similarity between two clustering methods at the same number of clusters using the corrected indices of Rand and Jaccard as described in Albatineh and Niewiadomska-Bugaj (2011). The number of clusters at which the index attain its maximum more frequently is a candidate for being the optimal number of clusters.

Total

91

Last month

91

Last week

55

Average per day

3

Daily downloads

Total downloads

Description file content

Package
MCSim
Type
Package
Title
Determine the Optimal Number of Clusters
Version
1.0
Date
2018-09-30
Author
Ahmed N. Albatineh, Meredith L. Wilcox, Bashar Zogheib, Magdalena Niewiadomska-Bugaj
Maintainer
Ahmed N. Albatineh
Description
Identifies the optimal number of clusters by calculating the similarity between two clustering methods at the same number of clusters using the corrected indices of Rand and Jaccard as described in Albatineh and Niewiadomska-Bugaj (2011). The number of clusters at which the index attain its maximum more frequently is a candidate for being the optimal number of clusters.
Depends
R (>= 3.1.0)
Imports
MASS,CircStats,stats,graphics
License
GPL-2
Encoding
UTF-8
LazyData
true
NeedsCompilation
no
Packaged
2018-10-08 10:37:50 UTC; aalbatineh
Repository
CRAN
Date/Publication
2018-10-08 11:00:17 UTC

install.packages('MCSim')

1.0

11 days ago

Ahmed N. Albatineh

GPL-2

Depends on

R (>= 3.1.0)

Imports

MASS,CircStats,stats,graphics

Discussions