Application of FCM Clustering Algorithm in Digital Library Management System

Traditional library systems are gradually being replaced by digital libraries. Digital libraries developing from simple database-based storage and retrieval to knowledge-based implementation. The fuzzy C-means (FCM) clustering algorithm is an example of data collection processing technology. It evaluates draws conclusions based on mathematics, large data, other technologies. In order better improve the management system, this paper applied FCM system. Based in-depth study algorithm, built a was used cluster borrowing records reader information. provided technical support suggestions construction book purchase promoted form good spitting cycle. experimental results extracted during evaluation phase demonstrated that overall error rate suggested for information 3.66%, which than existing comparative models. This shows applying system has some practical significance.