Abstract
This chapter extends MCLP model to deal with different problems, such as fuzzy MCLP models for fuzzy classification problems, kernel base MCLP for nonlinear classification problems, and knowledge based MCLP for classification problems with prior knowledge. And on account of the limitation which the MCLP model failed to make sure and remove the redundancy in variables or attributes set, we constructed a new method combining rough set and the MCLP model effectively for classification in data mining. At last, we extend MCLP model for regression problems after transforming the regression problems to classification problems.
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Shi, Y., Tian, Y., Kou, G., Peng, Y., Li, J. (2011). MCLP Extensions. In: Optimization Based Data Mining: Theory and Applications. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-0-85729-504-0_8
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DOI: https://doi.org/10.1007/978-0-85729-504-0_8
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