The representation of objects by multi- dimensional arrays is widely applied in many research areas. Nevertheless, there is a lack of tools to classify data with this structure. In this paper, an approach for classifying objects represented by matrices is intro- duced, based on the advantages and success of the combination strategy, and particularly in the dissimilar- ity representation. A procedure for obtaining the new representation of the data has also been developed, aimed at obtaining a more powerful representation. The proposed approach is evaluated on two three- way data sets. This has been done by comparing the different ways of achieving the new representation, and the traditional vector representation of the ob-