Actas de congresos
Data classification: Dimensionality reduction using combined and non-combined multidimensional projection techniques
Fecha
2018-12-13Registro en:
Proceedings - 2018 Brazilian Conference on Intelligent Systems, BRACIS 2018, p. 402-407.
10.1109/BRACIS.2018.00076
2-s2.0-85060854731
Autor
Universidade Estadual Paulista (Unesp)
Institución
Resumen
Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality reduction algorithms. We also used Naïve Bayes and SMO as classifiers.