Case Retrieval Strategy Based on Improved K-means Clustering
Shijie Jia · Jisuanji gongcheng · 2011
Aiming at the case retrieval problems in the Case-Based Reasoning(CBR) system,in the light of the idea of the K-means algorithm,this paper designs a clustering algorithm and a case retrieval algorithm respectively.In terms of the deficiency of the K-means algorithm,this paper improves the selecting rules of initial values as well as the case retrieval algorithm.It analyzes the selecting rules of sample case on the basis of case-weight,and deeply discusses the case clustering algorithm and retrieval algorithm.Experimental results show that this method can efficiently raise the efficiency of case retrieval and enhance the recall rate of the retrieval results.