Kernel Discriminant Analysis and information complexity: advanced models for micro-data mining and micro-marketing solutions
Caterina Liberati, Furio Camillo · WIT transactions on information and communication technologies · 2006
In this paper we shall consider Kernel Discriminant Analysis as an innovative tool for supervised classification in a business vision as a marketing solution.The main idea we propose is the combined use of information complexity and bootstrap process which allows the user to overcome the open problems of such a technique as the kernel function choice and at the same time check the robustness of the rule found.