Efficient incorporation of additional information to classification rules

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Abstract

We propose and discuss improved classification rules when a subset of the predictors is known to be ordered. We compare the performance of the new rules with other standard rules in a restricted normal setting using simulation experiments and real data exposing their good performance. © Springer-Verlag Berlin Heidelberg 2011.

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Fernández, M., Rueda, C., & Salvador, B. (2011). Efficient incorporation of additional information to classification rules. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 75–83). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-13312-1_7

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