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Joachim Schork
Gaussian Mixture Models (GMMs) are a flexible method for modeling data that comes from multiple overlapping sources. They assume that the data is generated from a mixture of
Joachim Schork. . Gaussian Mixture Models (GMMs) are a flexible method for modeling data that comes from multiple overlapping sources. They assume that the data is generated from a mixture of Gaussian distributions, making them well-suited for identifying clusters with different shapes, sizes, and orientations. ️ Works well when clusters ...
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