highDimensionARI: Calculate ARI for high-dimensional data via data splits
Description
This function is used to calculate Adjusted Rand Index (ARI) values for high-dimensional data.Usage
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
Value
- Value of Adjusted Rand Index for samples
x and y
References
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.