adjRand: Adjusted Rand Index
In emilygoren/MixtClust: Robust Clustering for Complete and Incomplete Data
adjRand R Documentation
Adjusted Rand Index
Description
Adjusted Rand Index
Usage
adjRand(class1, class2)
Arguments
class1
A n-vector of class labels.
class2
A n-vector of class labels.
Details
Compute the adjusted Rand Index comparing the two
classifications, class1 and class2.
Value
A scalar value, taking the value 1 if the two classifications are
in perfect agreement. Under random classification, the adjusted Rand Index is 0.
Author(s)
Emily Goren, emily.goren@gmail.com
References
Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of
Classification, 2(1): 193-218.
emilygoren/MixtClust documentation built on March 19, 2022, 2 p.m.
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| adjRand | R Documentation |
Adjusted Rand Index
Description
Adjusted Rand Index
Usage
adjRand(class1, class2)
Arguments
class1 |
A n-vector of class labels. |
class2 |
A n-vector of class labels. |
Details
Compute the adjusted Rand Index comparing the two
classifications, class1 and class2.
Value
A scalar value, taking the value 1 if the two classifications are in perfect agreement. Under random classification, the adjusted Rand Index is 0.
Author(s)
Emily Goren, emily.goren@gmail.com
References
Lawrence Hubert & Phipps Arabie, 1985. "Comparing partitions," Journal of Classification, 2(1): 193-218.
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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