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Classifying these microalgae manually can be an expensive task, because thousands of microalgae can be found in even a small sample of water. This paper presents an approach for an automatic\/semi-automatic classification of microalgae based on semi-supervised and active learning algorithms, using Gaussian mixture models. 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