cba: Clustering for Business Analytics
Implements clustering techniques such as Proximus and Rock, utility functions for efficient computation of cross distances and data manipulation.
Version: |
0.2-21 |
Depends: |
R (≥ 2.10), grid, proxy |
Imports: |
stats, graphics, grDevices, methods |
Suggests: |
gclus, colorspace |
Published: |
2019-04-18 |
Author: |
Christian Buchta and Michael Hahsler |
Maintainer: |
Christian Buchta <christian.buchta at wu.ac.at> |
License: |
GPL-2 |
NeedsCompilation: |
yes |
Materials: |
ChangeLog |
In views: |
Cluster |
CRAN checks: |
cba results |
Documentation:
Downloads:
Reverse dependencies:
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