基于多维度属性权重优化的FCM聚类算法的图书管理数据聚类研究

Research on Library Management data Clustering and FCM Clustering Algorithm of Multi Dimension Attribute Weights Based on the Optimization

结合图书管理参数复杂,变量维数较高,多属性数据点集中不但包含数值型属性,还有类别属性和混合型属性的特点,将模糊聚类算法与属性加权优化相结合,进而推导出优化迭代公式并形成加权聚类算法对图书数据管理中的相关影响因素进行聚类分析,得到了相关具有较大影响因素的相关变量,对于企业今后一段时间内的精细化管理给出了控制方向和指标。

In this paper,combining with the library management parameters of complex,variable dimension is high,multiple attribute data point focused not only contains the numeric attributes,and the class attribute and mixed attributes and characteristics,the fuzzy clustering algorithm and weighted attribute optimization combination,and then derived the optimal iteration formula and the formation of weighted clustering algorithm factors related to books data management in the cluster analysis,has been related to having a greater impact factors are given for the relevant variables,fine management of enterprises in the coming period of time control directions and index.