Feature and instances selection for nearest neighbor classification via cooperative PSO
SSS Ahmad - 2014 4th World Congress on Information and …, 2014 - ieeexplore.ieee.org
Data reduction is an essential task in the data preparation phase of knowledge discovery
and data mining (KDD). The reduction method contains two techniques, namely features …
and data mining (KDD). The reduction method contains two techniques, namely features …
Attribute and case selection for nn classifier through rough sets and naturally inspired algorithms
Y Villuendas-Rey, MM Garcia-Lorenzo - Computación y Sistemas, 2014 - scielo.org.mx
Supervised classification is one of the most active research fields in the Artificial Intelligence
community. Nearest Neighbor (NN) is one of the simplest and most consistently accurate …
community. Nearest Neighbor (NN) is one of the simplest and most consistently accurate …
Selección de atributos y casos para el clasificador NN a través de conjuntos aproximados y algoritmos inspirados en la naturaleza
Y Villuendas-Rey, MM Garcia-Lorenzo - Computación y Sistemas, 2014 - scielo.org.mx
Supervised classification is one of the most active research fields in the Artificial Intelligence
community. Nearest Neighbor (NN) is one of the simplest and most consistently accurate …
community. Nearest Neighbor (NN) is one of the simplest and most consistently accurate …