MI: Compute the mutual information of two discrete samples
In comeetie/greed: Clustering and Model Selection with the Integrated Classification Likelihood
MI R Documentation
Compute the mutual information of two discrete samples
Description
Compute the mutual information of two discrete samples
Usage
MI(cl1, cl2)
Arguments
cl1
vector of discrete labels
cl2
vector of discrete labels
Value
the mutual information between the two discrete samples
Examples
cl1 <- sample(2, 500, replace = TRUE)
cl2 <- sample(2, 500, replace = TRUE)
MI(cl1, cl2)
comeetie/greed documentation built on Oct. 10, 2022, 5:37 p.m.
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| MI | R Documentation |
Compute the mutual information of two discrete samples
Description
Compute the mutual information of two discrete samples
Usage
MI(cl1, cl2)
Arguments
cl1 |
vector of discrete labels |
cl2 |
vector of discrete labels |
Value
the mutual information between the two discrete samples
Examples
cl1 <- sample(2, 500, replace = TRUE) cl2 <- sample(2, 500, replace = TRUE) MI(cl1, cl2)
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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