Locality preserving kernel method and its application

Kernel method is now a powerful alternative in many machine learning tasks.Practice shows that it will achieve better performance if domain knowledge could be incorporated.The relationship between global information and local information when processing data is discussed.A text categorization test is conducted to compare our method with other several classification methods,and one will see that ours outperforms them.