FCM聚类算法在数字图书馆中的应用研究

Application Based on FCM Clustering Algorithm in Digital Library

运用模糊C-均值(FCM)聚类算法对数字图书馆的图书借阅数据进行数据挖掘,并使用误判率交叉估计法验证挖掘过程的有效性.通过分析聚类挖掘结果,寻找到读者借阅图书的潜在规律,并对各类图书的借阅质量进行判断,以提高图书馆的图书利用率,进一步优化馆藏.

A method based on fuzzy C-mean（FCM） clustering algorithm is introduced to mine the lending data of books in digital library.Then,the false rate cross-evaluation method is used to evaluate the process of mining.Through the analysis of clustering results,the concealed rules about reading requirement data are discovered and the lending quality of books is judged.This will improve the utilization rate of books and further optimize library holdings.