Title: Comparing high dimensional partitions, with the Coclustering Adjusted Rand Index,
Abstract: The popular Adjusted Rand Index (ARI) is extended to the task of simultaneous
clustering of the rows and columns of a given matrix. This new index called
Coclustering Adjusted Rand Index (CARI) remains convenient and competitive
facing other indices. Indeed, partitions with high number of clusters can be
considered and it does not require any convention when the numbers of clusters
in partitions are different. Experiments on simulated partitions are presented
and the performance of this index to measure the agreement between two pairs of
partitions is assessed. Comparison with other indices is discussed.