César Estébanez and Ricardo Aler and José M. Valls
Genetic Programming Based Data Projections for Classification Tasks
2195 - 2200
2007
1
7
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/15252
https://publications.waset.org/vol/7
World Academy of Science, Engineering and Technology
In this paper we present a GPbased method for automatically evolve projections, so that data can be more easily classified in the projected spaces. At the same time, our approach can reduce dimensionality by constructing more relevant attributes. Fitness of each projection measures how easy is to classify the dataset after applying the projection. This is quickly computed by a Simple Linear Perceptron. We have tested our approach in three domains. The experiments show that it obtains good results, compared to other Machine Learning approaches, while reducing dimensionality in many cases.
Open Science Index 7, 2007