A method implemented by one or more computing systems includes accessing a first data matrix including a plurality of row data and a plurality of column data. The method further includes providing, to a first generative adversarial network (GAN), a first data input including a plurality of row vectors corresponding to the plurality of row data, and providing, to a second GAN, a second data input including a plurality of column vectors corresponding to the plurality of column data. The method further includes generating, by simultaneous co-clustering the plurality of row vectors and the plurality of column vectors by the first GAN and the second GAN, a co-clustered correlation matrix based on the plurality of row vectors and the plurality of column vectors. The method further includes the co-clustered correlation matrix includes co-clustered associations between the plurality of row data and the plurality of column data.
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