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Case-Based Reasoning is used when generalized knowledge is lacking. The method works on a set of cases formerly processed and stored in the case base. A new case is interpreted based on its similarity to cases in the case base. The closest case with its associated result is selected and presented as output of the system. Recently, Dissimilarity-based Classification has been introduced due to the curse of dimensionality of feature spaces and the problem arising when trying to make image featuresdoi:10.1016/s0952-1976(02)00020-9 fatcat:d46dgj2fpfgz3grcdnjfwhy7hm