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Kroener (Kroener 1986) and Beran (Beran 1965) developed statistical mathematical formulations to link correlation functions to properties in multiphase materials.
By comparing both algorithms, the performance improvement achieved due to link correlation and network coding is obtained.
These computable models of cellular processes can substantially improve high-throughput data analysis by linking correlation to causation.
If two sets of data are strongly linked together (high correlation) correlation has a value (−1 to 1), '1' means a perfect positive correlation, '0' means no correlation, and '−1' is a perfect negative correlation.
In order to find link correlation for more number of next-level nodes, the previous link correlation procedure is extended, since the nodes that are possible to receive the 'hello' messages can be considered for finding the link correlation.
Figure 3 shows a link correlation model; here the link correlation is measured between a node in a sub-hierarchy level and two nodes in next hierarchy level.
In addition to that, it also considers link correlation, TDMA and network coding.
By using this link correlation technique, hierarchies of clusters are formed up to level-k.
Then for those nodes, the link correlation is calculated using Equation 14 to Equation 19.
This helps to reduce the complexity involved in finding link correlation for 'm' number of nodes.
Initially, each node uses link correlation to choose its cluster head at the next hierarchy level.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com