Overall, when we summarize the NMI formula in Eq. (21), the logarithm function remains the key factor. One of the main characteristics of the logarithm function is its low slope change with respect to its variable. This characteristic is reflected in the descending derivative of the logarithm ...
normalized mutual informationNormalized mutual information (NMI) is a widely used measure to compare community detection methods. Recently, however, the need of adjustment for information theory-based measures has been argued because of the so-called selection bias problem, that is, they show the ...
An implementation of a Normalized Mutual Information (NMI) measure for sets of overlapping clusters and Omega Index. ATTENTION: OvpNMI (onmi) does not suitable to evaluate multi-resolution or highly overlapping clusterings because of the used "best match" approximation (see formula 3 in the paper...
It shows a new formula that c... D Guo,S Shamai,S Verdu - 《IEEE Transactions on Information Theory》 被引量: 1406发表: 2005年 Mutual information and minimum mean-square error in Gaussian channels This paper deals with arbitrarily distributed finite-power input signals observed through an ...
The energy delivered by ventilatory assistance to respiratory system per time unit (mechanical power, MP) was estimated via Becher formula [24], which was already evaluated in noninvasively ventilated patients and was recommended to improve noninvasive ventilatory support monitoring in COVID-19 pneumoni...
Amelio, A.; Pizzuti, C., Correction for closeness: Adjusting normalized mutual information measure for clustering comparison. Computational Intelligence-US 2017, 33 (3), 579-601.A. Amelio and C. Pizzuti, "Correction for closeness: adjusting normalized mutual information measure for clustering com- ...