Description Usage Arguments Value
sumkl The sum of K-L divergence measure between two successive iterations for each component of a mixture distribution,
1 | sumkl(thetaNew.mu, thetaNew.sigma, thetaOld.mu, thetaOld.sigma)
|
thetaNew.mu |
the location parameters of the first distribution |
thetaNew.sigma |
the covariance matrix of the first distribution |
thetaOld.mu |
the location parameter of the second distribution |
thetaOld.sigma |
the covariance matrix of the second distribution |
the K-L divergence.
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