The Library Evaluation Based on the PCA and Fuzzy-c Means

As an important library management method the utility and evolution of the library evaluation is much caused from the progression in library circle, and it fits needs to library´s management. Based on the development of data mining technology, a Fuzzy-C-Means (FCM) algorithm model is founded to do the library evaluation in this paper, Selecting the Principal component analysis (PCA) to reduce the dimensionality of indexes, and then extract principal components to replace the original indexes, thus reducing the dimensions of the sample input space, at a certain extent improved the accuracy and the classify effect of this algorithm. At last, apply this model to library evaluation, and it shows more generalized performance and better regression accuracy compared with the method of single Fuzzy-c means and BP neural networks.