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- high dimensional data mining 高维数据挖掘
- Hsieh PF,Landgrebe D A.Classification of high dimensional data[D].PhD thesis of Purdue University,1998. 路威.;面向目标探测的高光谱影像特征提取与分类技术研究[D]
- Traditional image compression methods handle vectored data to compress, but the process undermines the spacial intrinsic structures of high dimensional data. 传统图像压缩方法基于向量数据进行压缩处理，破坏了高维数据的空间本征结构。
- CONCLUSIONS: Structural equation models are powerful analytical tools for disentangling the effects of a specific variable on another in high dimensional data with complex patterns of associations. 结论：结构化方程式分析模式有助于一错综复杂之关系中理出头绪。
- A High Dimensional Data Indexing Technique Based on Max Gap Space Mapping 基于最大间隙空间映射的高维数据索引技术
- Clustering of Rough Set of Qualitative Data of High Dimension in Data Mining 数据挖掘中高维定性数据的粗糙集聚类
- Levent Ertoz.Michael Steinbach.Vipin Kumar Finding Clusters of Different Sizes,Shapes,and Densities in Noisy,High Dimensional Data 赵艳厂.;宋梅
- Data mining is to extract knowledge from information. 资料开采是从各种资讯中获得知识。
- Design and Application about High Dimension Data Class Template 一种高维数据类模板的设计方法与应用
- Clustering is a major method of data mining. 摘要聚类是数据挖掘中的主要方法。
- high dimensional data indexing 高维数据索引
- Understanding data mining may be important to you. 理解数据挖掘可能对你很重要。
- high dimensional data set 高维数据集
- In its most basic form, data mining is very simple. 以其最基本的方式，数据采集就简单了。
- Data mining tools yield five types of information. 数据开采工具得到五类信息。
- high dimensional data 高维数据
- An available answer is Data Mining. 可行的方法之一就是利用数据挖掘技术。
- Outlier mining is an important part of data mining. 摘要离群数据挖掘是数据挖掘的重要内容。
- CUG, Research Areas: Database and Data Mining. 研究生毕业，研究方向：数据库与数据挖掘技术。
- Data cube has been playing an important role in the high dimensional OLAP operations. 摘要数据立方体在许多多维数据的数据仓库的高速OLAP操作中扮演着重要的角色。
