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mixture models are a probabilistic model for representing normally distributed subpopulations within an overall population.
Mixture models in general don't require knowing which subpopulation a data point belongs to, allowing the model to learn the subpopulations automatically. Since subpopulation assignment is not known, this constitutes a form of unsupervised learning.
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