结合关联规则的元搜索引擎结果聚类改进
发布时间：2019-06-06 10:31
【摘要】：将目的搜索引擎返回的结果经分词处理并提取主要关键词后,采用关联规则建立关联词矩阵,并利用FCM(Fuzzy C-Means,模糊C均值聚类)对结果进行聚类,且通过聚类有效性函数FP(U,c)判断最佳聚类结果,最终按照相关度大小顺序将结果返回。通过与K-means(K均值聚类)算法的实验对比发现,以上方法能有效地保证运行效率与聚类个数的有效性,且提高了相关结果的排序位置,因此更能满足用户的需求。
[Abstract]:After the results returned by the target search engine are segmented and the main keywords are extracted, the association word matrix is established by using association rules, and the results are grouped by FCM (Fuzzy C 鈮，
本文编号：2494291
[Abstract]:After the results returned by the target search engine are segmented and the main keywords are extracted, the association word matrix is established by using association rules, and the results are grouped by FCM (Fuzzy C 鈮，
本文编号：2494291
本文链接：https://www.wllwen.com/kejilunwen/sousuoyinqinglunwen/2494291.html
