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,(4):112-115
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
  
DOI:
中文关键词: 聚类算法  基因表达式编程  协作过滤
英文关键词: cluster algorithm  gene expression programming  collaborative filtering
基金项目:国家自然科学基金资助项目(61262028)
作者单位
蔡宏果1,2,元昌安1,* 1 广西师范学院 科学计算与智能信息处理广西高校重点实验室南宁 530023
2 广西教育学院 培训学院南宁 530023 
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中文摘要:
      为进一步解决基于用户的协作过滤技术的扩展性问题,利用基因表达式编程(GEP)的并行性优势, 与已有的串行聚类DBSCAN算法进行融合,使得串行程序并行化, 提出了一种GEP-DBSCAN协作过滤聚类算法来寻找最近邻居,改进基于密度的协作过滤方法,实验证明了算法的有效性以及提高了时间效率.
英文摘要:
      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.
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