| More M-step: Computing the new variances |
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| • | We fit the
variance of each Gaussian, i, on
each |
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| dimension,
d, to the posterior-weighted data |
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| – | Its
more complicated if we use a full- |
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| covariance
Gaussian that is not aligned with |
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| the
axes. |
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