AI 용어집

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Mean of a Gaussian

Location parameter (μ) of a Gaussian distribution, representing the center of the mixture component.

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Diagonal Gaussian Mixture Model

Variant of GMM where the covariance matrix of each component is constrained to be diagonal, reducing the number of parameters.

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Spherical Gaussian Mixture Model

Variant of GMM where the covariance matrix is proportional to the identity matrix, imposing clusters with a circular shape and equal size.

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Tied Gaussian Mixture Model

Variant of GMM where all components share the same covariance matrix, limiting flexibility but reducing parameters.

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K-means as GMM initialization

Common strategy to initialize the parameters of a GMM using the centroids and cluster assignments obtained from the K-means algorithm.

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Mixture Separation

Problem of recovering the parameters of the individual distributions from a data sample coming from their mixture.