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- 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
- The data space was mapped to high dimension feature space with Mercer kernel function, and fuzzy kernel learning vector quantization (FKLVQ) was done on the feature space to obtain the effective and stable clustering weight vectors. 该方法通过Mercer核,将数据空间映射到高维特征空间,并在此特征空间上进行FKLVQ学习获取数据空间有效且稳定的聚类权矢量,然后在特征空间和输出空间上仅针对各空间的数据样本和它们各自的聚类权矢量进行Sammon非线性核映射。
- Levent Ertoz.Michael Steinbach.Vipin Kumar Finding Clusters of Different Sizes,Shapes,and Densities in Noisy,High Dimensional Data 赵艳厂.;宋梅
- 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
- ID of the data space to which this file belongs. 此文件所属数据空间的ID。
- high dimensional data indexing 高维数据索引
- high dimensional data mining 高维数据挖掘
- In high dimensional decision space, the result set of SPEA is covered by GEPMO at least 87.5%, inversely at most 5%. 在标准测试函数上的实验结果表明了新算法的有效性,在高维决策空间中GEPMO能够覆盖SPEA算法的结果集87.;5%25,但SPEA覆盖GEPMO仅为5%25。
- high dimensional data set 高维数据集
- high dimensional data 高维数据
- 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。
- An extensible structure that contains definitions and associated data space. 字典:包含定义和伴生的资料空间的一个延伸性结构。
- The authors proposed an effective feature selection method for imbalanced data classification, especially if the data are also high dimensional. 因此作者提出有效的特徵挑選方法來處理不平均的高維度資料分類問題。
- A subspace clustering algorithm for high dimensional spatial data was proposed, which added the affect of neighbored grids when clustering. 为此提出了一种高维空间数据的子空间聚类算法,扩展了相邻聚类空间。
- Maybe the amount of original features is very large, sample objects maybe situate in high dimensional space, but they can be expressed in low dimensional space by mapping or transforming method or etc. 原始特征的数量可能很大,样本可能是处于一个高维空间中,通过映射或变换等方法可以用低维空间来表示样本。
- The address of the next available data space location, i.e., the value returned by HERE. 资料空间尖:下个可利用的资料空间地点,即,价值的地址这里返回了。
- In the similarity query processing based on high dimensional indexing, the searching space is usually narrowed down by pruning the inactive subspaces which do not contain any query results. 在基于高维索引技术的相似性查询处理中,通常通过过滤那些不包含任何查询结果的非活动子空间来不断缩减搜索空间。