AdjRandIndex: Calculate Adjusted Rand Index
In SeojinBang/MKKC: Multiple Kernel K-means Clustering
Description
Usage
Arguments
Value
References
See Also
Examples
Description
Calculate Adjusted Rand Index measuring the similarity between two clustering labels.
Usage
1
AdjRandIndex(x, y)
Arguments
x
A vector of class labels
y
A vector of class labels to be compared with x. The length of y should be the same as x.
Value
This function returns Adjusted Rand Index between two label vectors x and y.
References
\insertRefhubert1985comparingMKKC
See Also
Examples
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10
# true label
x <- rep(1:3, each = 10)
# predicted label
y <- sample(x)
# compare x and y
AdjRandIndex(x, y)
NormMI(x, y)
Purity(x, y)
SeojinBang/MKKC documentation built on Sept. 18, 2019, 1:42 p.m.
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Description Usage Arguments Value References See Also Examples
Description
Calculate Adjusted Rand Index measuring the similarity between two clustering labels.
Usage
1 | AdjRandIndex(x, y)
|
Arguments
x |
A vector of class labels |
y |
A vector of class labels to be compared with |
Value
This function returns Adjusted Rand Index between two label vectors x and y.
References
\insertRefhubert1985comparingMKKC
See Also
Examples
1 2 3 4 5 6 7 8 9 10 | # true label
x <- rep(1:3, each = 10)
# predicted label
y <- sample(x)
# compare x and y
AdjRandIndex(x, y)
NormMI(x, y)
Purity(x, y)
|
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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