中南民族大学学报（自然科学版）2017，Vol.36Issue(4)：112-115,4.
一种基于基因表达式编程的串行聚类算法并行化研究
Research on GEP-based Cluster Algorithm for Serial Program to be Parallelized
摘要
Abstract
To address the expansibility problem of collaborative filtering technology based on users , the GEP-DBSCAN algorithm for collaborative filtering clustering was proposed .It is key to fuse the parallelism of gene expression programming and the advantages of the DBSCAN algorithm .The new algorithm makes serial programs parallelized and can be used to find the nearest neighbors .It improves collaborative filtering method based on the density .The experimental results show that the GEP-DBSCAN algorithm is effective and can increase time efficiency .关键词
聚类算法/基因表达式编程/协作过滤Key words
cluster algorithm/gene expression programming/collaborative filtering分类
信息技术与安全科学引用本文复制引用
蔡宏果,元昌安..一种基于基因表达式编程的串行聚类算法并行化研究[J].中南民族大学学报（自然科学版）,2017,36(4):112-115,4.基金项目
国家自然科学基金资助项目(61262028) （61262028）
