ClusBoot: Bootstrap Clustering
Clustering algorithms are designed to cluster objects into a number of clusters. Any clustering algorithm provides the 'best'
grouping of objects according to some criterion.
This does not guarantee a 'good' clustering solution in the sense that some allocations were not simply the result of chance.
This package allows the user to apply any clustering algorithm to a data set. The cluster allocations are subjected to a
bootstrap analysis
to determine the extent to which the clustering structure is stable and fundamental to the data set. For more information
see <https://slubbe.wixsite.com/academic-cv/conference-presentations>.
| Version: |
1.0 |
| Depends: |
R (≥ 3.5.0) |
| Published: |
2019-12-13 |
| Author: |
Sugnet Lubbe |
| Maintainer: |
Sugnet Lubbe <slubbe at sun.ac.za> |
| License: |
AGPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
ClusBoot results |
Documentation:
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