credal_RI {evclust} | R Documentation |
Credal Rand indices
Description
credal_RI
computes generalizations of the Rand index to compare credal partitions, as defined
in Denoeux et al (2018).
Usage
credal_RI(P1, P2, type = "c")
Arguments
P1 |
Relational representation of the first credal partition such as generated
by function |
P2 |
Relational representation of the second credal partition such as generated
by function |
type |
"c" for degree of conflict (default), "j" for Jousselme's distance and "b" for belief distance. |
Details
In Denoeux et al. (2018), two generalizations of the Rand index for comparing credal partitions
are defined: one is based on distances between mass function, the other one is based on distances.
In the latter case, two distances are proposed: Jousselme's distance and the L1 distance between
belief functions. These three indices can be computed by function credal_RI
.
Value
The credal Rand index
References
T. Denoeux, S. Li and S. Sriboonchitta. Evaluating and Comparing Soft Partitions: an Approach Based on Dempster-Shafer Theory. IEEE Transactions on Fuzzy Systems, 26(3):1231-1244, 2018.
See Also
Examples
## Butterfly data
data(butterfly)
clus1<-kevclus(butterfly,c=2)
P1<-pairwise_mass(clus1)
clus2<-ecm(butterfly,c=2)
P2<-pairwise_mass(clus2)
RI1<-credal_RI(P1,P2,"c")
RI2<-credal_RI(P1,P2,"j")
RI3<-credal_RI(P1,P2,"b")
print(c(RI1,RI2,RI3))