The Large Data Direct Classifying Method Based on Hyper Surface

It is quite difficult to classify large data by using the support vector machine. To solve the problem, several questions are discussed in this paper as below: (1) A new universal classifying method based hyper surface, HSC, is put forward based on Jordan Curve Theorem, which classify data according to whether the rewind number is odd or even. (2) The concept of separating hyper surface has been defined. Moreover, the training and classifying algorithms using HSC method are designed. (3) The experimental results of two-spiral discrimination and so on show that the separating hyper surface method can effectively solve the problem of classification of a vast amount of data and it is clear that the classifying efficiency and accuracy have been improved by using this method.