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高维数据空间的一种网格划分方法 被引量：4

Grid-based division approach for high-dimensional data space
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摘要 在高维数据空间的子空间中对高维数据进行处理是减小甚至消除"维度灾难"的一个有效方法。为选择合理的子空间,提出了一种基于网格划分的子空间生成方法。在考虑数据集整体分布的前提下,对各维数据进行等深度的区间划分,为高维数据的后续相关处理奠定了良好的基础。 In order to avoid the curse of dimensionality,it is efficient to deal with high-dimensional data in proper subspaces. This paper puts forward a new idea to form subspaces by dividing high dimensional space into grids,and each dimension is divided into depth-equal grids.The pretreatment of high dimensional data establishes necessary base for succeeding analysis.
作者 贺玲 蔡益朝 杨征
机构地区 空军雷达学院预警监视情报系 国防科技大学信息系统与管理学院
出处 《计算机工程与应用》 CSCD 北大核心 2011年第5期152-153,共2页 Computer Engineering and Applications
基金 国家自然科学基金No.60802080~~
关键词 维度灾难 子空间 网格划分 curse of dimensionality subspace grid-based division
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献3

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共引文献4

同被引文献46

  • 1梁武科,赵道利,黄秋红,吴罗长.基于多传感器信息融合的水轮机导轴承故障诊断方法[J].水力发电学报,2004,23(4):117-121. 被引量：9
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引证文献4

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计算机工程与应用
2011年 第5期

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