The Multi-class Classification Method in Large Database Based on Hyper Surface

-The main idea of SVM i.e. Support Vector Machine is that classifying nonlinear separable data by mapping the data into higher dimension linear space where the data can be separated by hyper plane. Based on Jordan Curve Theorem, a general classification method based on hyper surface HSC is put forward. The classification hyper surface is directly made to classify large nonlinear data according to whether the wind number is odd or even. It is a novel approach that has no need of mapping from lower dimension space to higher dimension space and has no need of considering kernel function too. The experiments show that the new method can efficiently and accurately classify multi-class large data.