J. E. Chacón

The adjusted Rand index (ARI) is a measure of accuracy for clustering evaluation that is very commonly used. Many of the users, however, seem not to be fully aware of its meaning, and this frequently leads to misinterpretations that invalidate the conclusions thus obtained from simulation or experimental studies. In this talk, we will review closely some properties of this index, and will compare it with suitable alternatives.

Keywords: clustering evaluation, adjusted Rand index, misclassification error

Scheduled

GT18 Non-parametric statistics II. Nonparametric inference for density and distribution
June 9, 2022  12:00 PM
A15


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