## What are some options for identifying the number of components in a GMM?

When used for clustering, any of the evaluation metrics (Silhouette Score, Dunn Index, Rand Index, etc.) are appropriate

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The ARI adjusts the raw Rand Index for classification by chance by subtracting the expected index from both the numerator and denominator.

The Rand Index can be used for comparing the results from multiple clustering algorithms.

Since there are no labels associated with the observations in unsupervised learning, there is no direct error metric that can be applied