Distinguishing Visual Feature Extraction Method Using Quadratic Map and Genetic Algorithm
Wenxue Hong · Jisuanji fangzhen · 2009
The graphical representation of multi-dimensional data is a simplest method of the data visualization with high dimension.The visual barycentre graphical feature was proposed based on the radar plot of multi-dimensional data.The radar plot was involved with the feature order,which led that visual feature was involved with the feature order.The quadratic map was used to obtain visual features of the all feature orders.The distinguishing visual feature selection method was proposed based on the improved genetic algorithm(GA).For some UCI dataset such wine,breast cancer and diabetes,the obtained best classification error of distinguishing visual feature of radar plot is 0%、1.61% and 20.7%,which is very promising compared to the previously reported classification methods,and is superior to that of traditional feature extraction method.