Data fusion methods are useful tools in data mining and knowledge discovery to build models of the data and to extract useful information grom raw data. This work is devoted to one family of aggregation operators. The so-called, quasi-weighted means. In this work we present a methodology to learn the weights for these operators based on active set methods and the gradient descent.