README.md

In clbustos/coolcat-r:

coolcat-r

Clustering algorithm Coolcat(Barbará, Couto, Li) implemented on R.

Usage

library(coolcat)
data(house.votes)
cc<-coolcat(house.votes[,-1],k=2,m.replacement=0.2,trace.log=T)
# Clusters
cc$clustering
# Attributes values percentages by cluster
tableByFactor(cc$data,cc$clustering)
# Category Utility Function 
categoryUtilityFunction(cc)
# Draws a clustering plot and a silhoutte plot. 
plot(cc)

Todo

• Speed-up the algorithm. Is very slow on fitting points and detect bad points
• Use alternative functions to detect bad items.

Licence

GPL-3

clbustos/coolcat-r documentation built on May 13, 2019, 7:39 p.m.