Aim of the paper istopropose asegmentation technique based onthe Bagged Clustering (BC)method.In the partitioning step of the BCmethod, B bootstrap samples with replacem ent are generated bydrawing from the original sample.The fuzzy C-medoids Clustering (FCMdC) method isrun oneach bootstrap sam- ple, obtaining (B  C) medoids and the membership degrees ofeach unit tothe different clusters.The sec- ond step consists in running ahierarchical clustering algorithm onthe (B  C) medoids.The best partition of the medoids isobtained investigating properly the dendrogram.Then each unit isassigne dtoeach cluster based onthe membership degrees observed inthe partitioning step.The effectiveness ofthe sug- gested procedure has been shown analyzing asuggestive tourism segmentation problem.Weanalyze two sample of tourists,each one attending adifferent cultural attraction,enlightening differences among clusters in socio-economic characteristics and inthe motivational reasons behind visit behavio