We calculate the average differential entropy of a q-component Gaussian mixture in Rn. For simplicity, all components have covariance matrix Ï21, while the means {Wi}i=1q are i.i.d. Gaussian vectors with zero mean and covariance s21. We obtain a series expansion in μ=s2/Ï2 for the average differential entropy up to order O(μ2), and we provide a recipe to calculate higher-order terms. Our result provides an analytic approximation with a quantifiable order of magnitude for the error, which is not achieved in previous literature.
Average Entropy of Gaussian Mixtures.
高斯混合模型的平均熵
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作者:Joudeh Basheer, Å koriÄ Boris
| 期刊: | Entropy | 影响因子: | 2.000 |
| 时间: | 2024 | 起止号: | 2024 Aug 1; 26(8):659 |
| doi: | 10.3390/e26080659 | ||
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