The optimal number of clusters identified using the GMM clustering algorithm.

The proportion of cluster agreement is a measure of consensus or stability among the number of clusters across repeated iterations. The total number of clusters was determined by fitting the GMM 1000 times with each run initialised by a different seed to obtain a unique set of clustering solutions for that seed. The Adjusted Rand Index (ARI) evaluates the stability of the clustering solution by measuring the proportion of neuronal pairs consistently classified in both clustering solutions to the total number of neuronal pairs across 100 other solutions.