| vi_comparison {MitoHEAR} | R Documentation |
vi_comparison We compute the variation of information (VI) between the partition provided by new_classification and old_classification. The VI between a random partitions (obtained with re-shuffle from original labels in old_classification) and old_classification is also computed. A distribution of VI values from random partitions is built. Finally, from the comparison with this distribution, an empirical p value is given to the VI of the unsupervised cluster analysis.
Description
vi_comparison We compute the variation of information (VI) between the partition provided by new_classification and old_classification. The VI between a random partitions (obtained with re-shuffle from original labels in old_classification) and old_classification is also computed. A distribution of VI values from random partitions is built. Finally, from the comparison with this distribution, an empirical p value is given to the VI of the unsupervised cluster analysis.
Usage
vi_comparison(old_classification, new_classification, number_iter)
Arguments
old_classification |
Character vector. First column of the dataframe returned by function clustering_angular_distance (first element of the output). |
new_classification |
Character vector.Second column of the dataframe returned by function clustering_angular_distance (first element of the output). |
number_iter |
Integer value. Specify how many random partition are generated (starting from re-shuffle of labels in old_classification). |
Value
Numeric value (empirical p value).
Author(s)
Gabriele Lubatti gabriele.lubatti@helmholtz-muenchen.de
See Also
https://www.rdocumentation.org/packages/mcclust/versions/1.0/topics/vi.dist