A novel classification algorithm of clothes Chernoff faces
Jinjia Wang · Journal of Yanshan University · 2008
The nearest Chernoff faces classifier is proposed based on the idea of the Chernoff faces and the nearest mean classifier. The clothes Chernofffaces are proposedtoimprove the shortcoming of Chernoff faces on non-representing the data dimension. And the two graphical features are proposed: area feature and barycentre feature. The clothes Chernoff faces auto classifier is proposed using the nearest mean classifier and using the proposed graphical features to improve the subjective classified shortcoming of Cher- noff faces. The experiment results of the 8 real data sets prove validity of the new method.