Study on Data Description based on Kernel Method and Its Application
Xiao Jian-hua · Shuxue de shijian yu renshi · 2005
Data description,or one-class classification,is used to distinguish between a set of target objects and all other possible objects.On the basis of introducing the principle of data description based on kernel briefly,the paper points out that the data description can be used in pattern clustering if the kernel function and its parameters are choosed properly.The new clustering method has the advantage of tight boundary,so the disturbance of noise data is easy to elominate.Aiming at the difficulty of determing the number of clustering and which cluster each sample belong to in the new clustering method,the paper proposed a solution through searching,which has been proved theoretically.In the end of paper,the new clustering method is used in relation evaluation of enterprise.The result show that the new method is reasonable.