基于属性的聚类算法在医生医疗质量评价系统中的应用研究

Application Research of Clustering Algorithm Based on Attribute in Evaluate System of Doctor Medical Treatment Quality

从数据挖掘的概念入手,以数据结构的角度看待数据挖掘的研究对象,对数据挖掘的重要工具———聚类做了深入的论述,把聚类分为基于数据元素的Q型聚类和基于属性的R型聚类,着重讨论了R型聚类,论述了相关的概念、技术和算法。最后介绍了一个实际应用系统———医生医疗质量评价系统,提出了一些新的观点及算法设计思路。

Derived from that the concept of data mining is widely recognized, and many interrelated technologies and products are appeared. This thesis starts with the concept of data mining, looks on research object of data mining in the perspective of data structure, discusses the cluster(the important tool of data mining) in depth, and classifies cluster into Q cluster based on data element and R cluster based on attribute. The thesis emphasizes R cluster and discusses interrelated concepts,technology and algorithm. At last, this thesis introduces a practical application system:the evaluate system of doctor medical treatment quality, puts forward some new viewpoint and algorithm designing method and attempts to discuss in theory and practice.