clusterStat: External Evaluation of Cluster Results
In prclust: Penalized Regression-Based Clustering Method
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Suppose we know the true cluster results beforehand. clusterStat provides Rand, adjusted Rand, Jaccard index to measure the quality of a cluster results.
Usage
1
clusterStat(trueGroup, group)
Arguments
trueGroup
The true cluster results.
group
The estimated cluster results, not neccessary calculating by PRclust.
Value
The return value is a "clusterStat" class, providing the following information.
Rand
Rand Index
AdjustedRand
Adjusted Rand Index
Jaccard
Jaccard Index
Author(s)
Chong Wu
Examples
1
2
3
4
5
a <- rep(1:3,3)
a
b <- rep(c(4:6),3)
b
clusterStat(a,b)
prclust documentation built on May 2, 2019, 10:24 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
Suppose we know the true cluster results beforehand. clusterStat provides Rand, adjusted Rand, Jaccard index to measure the quality of a cluster results.
Usage
1 | clusterStat(trueGroup, group)
|
Arguments
trueGroup |
The true cluster results. |
group |
The estimated cluster results, not neccessary calculating by PRclust. |
Value
The return value is a "clusterStat" class, providing the following information.
Rand |
Rand Index |
AdjustedRand |
Adjusted Rand Index |
Jaccard |
Jaccard Index |
Author(s)
Chong Wu
Examples
1 2 3 4 5 | a <- rep(1:3,3)
a
b <- rep(c(4:6),3)
b
clusterStat(a,b)
|
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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