Because Normal Mixtures clustering is sensitive to outliers, an outlier-robust alternative called Robust Normal Mixtures is provided. This method uses a robust method of estimating the normal parameters. JMP computes the estimates via maximum likelihood with respect to a mixture of Huberized normal distributions. Huberized normal distributions are multivariate normal distributions that are constructed to be outlier resistant. For details, see Additional Details for Robust Normal Mixtures.