ClassProp: Classification Proportion
In MixSim: Simulating Data to Study Performance of Clustering Algorithms
ClassProp R Documentation
Classification Proportion
Description
Computes the agreement proportion between two classification vectors.
Usage
ClassProp(id1, id2)
Arguments
id1
first partitioning vector.
id2
second partitioning vector.
Value
Returns the value of the proportion of agreeing elements.
Author(s)
Volodymyr Melnykov, Wei-Chen Chen, and Ranjan Maitra.
References
Meila, M. (2006) “Comparing clusterings - an information based distance”, Journal of Multivariate Analysis, 98, 873-895.
See Also
RandIndex, and VarInf.
Examples
id1 <- c(rep(1, 50), rep(2,100))
id2 <- rep(1:3, each = 50)
ClassProp(id1, id2)
MixSim documentation built on Sept. 11, 2024, 9:08 p.m.
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| ClassProp | R Documentation |
Classification Proportion
Description
Computes the agreement proportion between two classification vectors.
Usage
ClassProp(id1, id2)
Arguments
id1 |
first partitioning vector. |
id2 |
second partitioning vector. |
Value
Returns the value of the proportion of agreeing elements.
Author(s)
Volodymyr Melnykov, Wei-Chen Chen, and Ranjan Maitra.
References
Meila, M. (2006) “Comparing clusterings - an information based distance”, Journal of Multivariate Analysis, 98, 873-895.
See Also
RandIndex, and VarInf.
Examples
id1 <- c(rep(1, 50), rep(2,100))
id2 <- rep(1:3, each = 50)
ClassProp(id1, id2)
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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