error.rate: Error Rate
In EMMIXskew: The EM Algorithm and Skew Mixture Distribution
Description
Usage
Arguments
Details
Value
Examples
Description
Calculate the Error Rate of a partition
Usage
1
2
error.rate(clust1,clust2)
rand.index(LabelA,LabelB)
Arguments
clust1
An integer vector of cluster label 1
clust2
An integer vector of cluster label 2
LabelA
An integer vector of the true membership labels
LabelB
An integer vector of the predicted labels
Details
clust1 and clust 2 must match, i.e, same number of clusters
Value
error.rate gives Error Rate
Examples
1
2
3
4
clu1<-c(1,2,3,1,1,2,2,3,3)
clu2<-c(2,2,2,1,1,1,3,3,3)
error.rate(clu1, clu2)
rand.index(clu1, clu2)
EMMIXskew documentation built on May 2, 2019, 11:07 a.m.
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Description Usage Arguments Details Value Examples
Description
Calculate the Error Rate of a partition
Usage
1 2 | error.rate(clust1,clust2)
rand.index(LabelA,LabelB)
|
Arguments
clust1 |
An integer vector of cluster label 1 |
clust2 |
An integer vector of cluster label 2 |
LabelA |
An integer vector of the true membership labels |
LabelB |
An integer vector of the predicted labels |
Details
clust1 and clust 2 must match, i.e, same number of clusters
Value
error.rate gives Error Rate
Examples
1 2 3 4 | clu1<-c(1,2,3,1,1,2,2,3,3)
clu2<-c(2,2,2,1,1,1,3,3,3)
error.rate(clu1, clu2)
rand.index(clu1, clu2)
|
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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