Cocluster structure analysis is a basic technique for revealing intrinsic structural information from cooccurrence data among\nobjects and items, in which coclusters are composed of mutually familiar pairs of objects and items. In many real applications,\nit is also the case that we have not only cooccurrence information among objects and items but also intrinsic relation among\nitems and other ingredients. For example, in food preference analysis, users� preferences on foods should be found considering not\nonly user-food cooccurrences but also the implicit relation among users and cooking ingredients. In this paper, two FCM-type\nfuzzy coclustering models, that is, FCCM and Fuzzy CoDoK, are extended for revealing intrinsic cocluster structures from threemode\ncooccurrence data, where the aggregation degree of three elements in each cocluster is maximized through iterative updating\nof three types of fuzzy memberships for objects, items, and ingredients. The characteristic features of the proposed methods are\ndemonstrated through a numerical experiment.
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