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CMA (Cost Minimization Analysis) is a method which seeks to minimize the cost of the output, which has the form of standard. CMA (Cost Minimization Analysis) is a method which seeks to minimize the cost of the output, which has the form of standard. This method is used if we have set the desired output standard. CMA is one of the monocriterial evaluation methods of public expenditure. Inputs are monetary units, outputs are not measured.
We show that an approximate solution to the minimization problem can be obtained by computing a partial singular value decomposition (SVD) of the associated edge weight matrix of the bipartite graph. We point out the connection of our clustering algorithm to correspondence analysis used in multivariate analysis.