The detection of meaningful covariant relations in multidimensional data is of major interest in data analysis and data mining. In this paper, we present a generalized measure by using the simple idea: the relative neighborhood relation between two objects (samples). The proposed measure is applicable to evaluate covariant relations in multidimensional mixed-feature type data tables, even if the data have complex structures. The experimental results show the effectiveness of the proposed measure.