highDimensionARI function

Calculate ARI for high-dimensional data via data splits

This function is used to calculate Adjusted Rand Index (ARI) values for high-dimensional data.

highDimensionARI(x, y, splits = 2, verbose = FALSE)

Arguments

• x: Vector of classification labels
• y: Vector of classification labels
• splits: Number of subsets data should be split into
• verbose: TRUE if verbose output is desired

Returns

Value of Adjusted Rand Index for samples x and y

References

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 https://inria.hal.science/inria-00638082.

Author(s)

Andrea Rau