Ariel Kobren

An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity

Clustering algorithms are often evaluated using metrics which compare with ground-truth cluster assignments, such as Rand index and NMI. Algorithm performance may vary widely for different hyperparameters, however, and thus model selection based on optimal performance for these metrics is discordant…