[1]黄奕平,万剑怡,万中英,等.基于MapReduce的粒子群投影寻踪模型的设计与实现[J].江西师范大学学报(自然科学版),2012,(04):388-394.
 HUANG Yi-ping,WAN Jian-yi,WAN Zhong-ying,et al.The Design and Implementing for Projection Pursuit Model Using PSO Based on MapReduce[J].,2012,(04):388-394.
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基于MapReduce的粒子群投影寻踪模型的设计与实现()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年04期
页码:
388-394
栏目:
出版日期:
2012-08-01

文章信息/Info

Title:
The Design and Implementing for Projection Pursuit Model Using PSO Based on MapReduce
作者:
黄奕平;万剑怡;万中英;王明文
江西师范大学计算机信息工程学院, 江西 南昌330022
Author(s):
HUANG Yi-ping WAN Jian-yi WAN Zhong-ying WANG Ming-wen
关键词:
投影寻踪粒子群优化MapReduce文本分类并行化
Keywords:
projection pursuit PSO MapReduce text classification parallel
分类号:
TP391.1
文献标志码:
A
摘要:
利用MapReduce模式设计并实现了粒子群投影寻踪算法的并行化,以提高算法的效率.在分类阶段使用了基于MapReduce的KNN分类算法并行,实验结果表明:基于MapReduce实现的粒子群投影寻踪模型能够有效地寻找到较好的投影方向,确保分类效果;并且与其串行算法相比,在实现效率上有较大的提高.
Abstract:
It programs the model on MapReduce model. In the classification stage, KNN based on MapReduce is designed and used,and the classification experiment is performed on Fudan dataset. The result shows that parallel particle swarm optimization for projection pursuit based on MapReduce has both well effectiveness and higher efficiency than its serial counterpart.

参考文献/References:

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 WAN Zhong-ying,WANG Ming-wen,JIE An-quan,et al.The Projection Index's Improvement in Projection Pursuit Model[J].,2013,(04):284.
[2]邹恩,辛建涛,林兰,等.修正的混沌粒子群算法求解经济负荷分配[J].江西师范大学学报(自然科学版),2013,(05):482.
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更新日期/Last Update: 1900-01-01