Text document clustering and the space of concept on text document automatically generated

A method of automatically generating text document space is presented. Firstly, the paper considers text document clustering through the use of SOM and then fuzzy clustering to automatically generate and sum up the concept space for text document management. The result can be used to cluster Chinese documents and generates an index of the cluster automatically. SOM is an unsupervised learning neural network method that produces a mapping from text space into concept space. Some experiments and test results show that the concept space does well in arranging the classification of the text and is convenient for information retrieval