Description Usage Arguments Value Author(s) References
This function is used to calculate Adjusted Rand Index (ARI) values for high-dimensional data.
1 | highDimensionARI(x, y, splits = 2, verbose = FALSE)
|
x |
Vector of classification labels |
y |
Vector of classification labels |
splits |
Number of subsets data should be split into |
verbose |
|
Value of Adjusted Rand Index for samples x
and y
Andrea Rau <andrea.rau@jouy.inra.fr>
Rau, A., Maugis-Rabusseau, C., Martin-Magniette, M.-L., Celeux G. (2015). Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models. Bioinformatics, 31(9):1420-1427.
Rau, A., Celeux, G., Martin-Magniette, M.-L., Maugis-Rabusseau, C. (2011). Clustering high-throughput sequencing data with Poisson mixture models. Inria Research Report 7786. Available at http://hal.inria.fr/inria-00638082.
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