A new technique is developed for identifying groups for regional flood freq
uency analysis. The technique uses a clustering algorithm as a starting poi
nt for partitioning the collection of catchments. The groups formed using t
he clustering algorithm are subsequently revised to improve the regional ch
aracteristics based on three requirements that are defined for effective gr
oups. The result is overlapping groups that can be used to estimate extreme
flow quantiles for gauged or ungauged catchments. The technique is applied
to a collection of catchments from India and the results indicate that reg
ions with the desired characteristics can be identified using the technique
. The use of the groups for estimating extreme flow quantiles is demonstrat
ed for three example sites.