Description Usage Arguments Details Value Author(s) References See Also Examples
Measures to compare the similarity of two clustering outcomes
1 2 | rand.index(group1, group2)
adj.rand.index(group1, group2)
|
group1 |
first cluster identity matrix |
group2 |
second cluster identity matrix |
This function calculates the Rand Index for two different clustering outcomes. The Rand Index gives a value between 0 and 1, where 1 means the two clustering outcomes match identicaly.
The Adjusted Rand Index rescales the index, taking into account that random chance will cause some objects to occupy the same clusters, so the Rand Index will never actually be zero.
a single value between 0 and 1
Matthew Vavrek
Rand, W.M. 1971. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association 66: 846–850.
Hubert, L. and Arabie, P. 1985. Comparing partitions. Journal of Classification. 2: 193–218.
To cluster the data, use the function rclust
1 2 3 4 |
Loading required package: sp
Loading required package: maps
Loading required package: shapefiles
Loading required package: foreign
Attaching package: 'shapefiles'
The following objects are masked from 'package:foreign':
read.dbf, write.dbf
[1] 0.4666667
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