log_omega_estimation: Approximation of log(omega(a,b))
In clustAnalytics: Cluster Evaluation on Graphs
View source: R/corrected_mutual_information.R
log_omega_estimation R Documentation
Approximation of log(omega(a,b))
Description
Where omega(a,b) is the number of contingency tables with a, b as row and column sums.
This approximation is only good for dense tables.
Usage
log_omega_estimation(c1, c2, base = exp(1))
Arguments
c1, c2
membership vectors
base
base of the logarithm (e by default)
clustAnalytics documentation built on May 29, 2024, 12:18 p.m.
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View source: R/corrected_mutual_information.R
| log_omega_estimation | R Documentation |
Approximation of log(omega(a,b))
Description
Where omega(a,b) is the number of contingency tables with a, b as row and column sums. This approximation is only good for dense tables.
Usage
log_omega_estimation(c1, c2, base = exp(1))
Arguments
c1, c2 |
membership vectors |
base |
base of the logarithm (e by default) |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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