使用经过训练的高斯混合模型对新数据进行标注。

I am not sure how to do the prediction for some new data using trained Gaussian Mixture Model (GMM). For example, I have got some labelled data drawn from 3 different classes (clusters). For each class of data points, I fit a GMM (gm1, gm2 and gm3). Suppose we know the number of Gaussian mixture for each class (e.g., k1=2, k2=1 and k3=3) or it can be estimated (optimised) using Akaike information criterion (AIC). Then when I have got some new dataset, how can I know if it is more likely belong to class 1, 2 or 3?I am not sure how to do the prediction for some