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- high dimensional clustering 高维聚类
- 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。
- A High Dimension Clustering Algorithm and its Application in Detecting Money Laundering 一种高维聚类算法及在洗钱侦测中的应用
- It proposes a K-means type subspace clustering for supplier categorization to analyze the high dimensional and sparse data,because transaction data of supplier behavior is mass and complicated. 针对供应商行为的交易数据最大、表达复杂的特点,提出基于k-均值子空间聚类算法对供应商分类的数据挖掘方法,解决高维和稀疏数据的分析问题,并通过实例验证该方法的准确性和高效性。
- high dimensional spatial clustering 高维空间聚类
- High dimensional stability throughout the lifespan is achieved by the low creep tendency of the polymers used. 由于所用聚合物的低蠕动性,可在整个寿命期达到很高的尺寸稳定性。
- 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。
- 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]
- This method involves integration on high dimensional hypercubes and estimating the volume of "half" hypercubes. 这个方法包含对超立方体的积分并估计”半”超立方体的体积。
- Srivastava, A High Dimensional Array Assigment Method For Parallel Computing Systems. 京兆（今陕西西安）人。
- Mathematicians struggle with ways to tame these monsters, which they call "high dimensional" systems. 数学家一直努力寻找驯服这些怪物的方法，他们称之为“高维”系统。
- 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。
- And type of yarn(for example, core -spun stretch yarns,complex yarns with little or no stretch, single.or ply yarns of high dimensional stabililty). 纱线的类型(例如弹力包芯纱、弹性小或较差的花式线,具有较好的尺寸稳定性的单纱或股线)。
- 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。
- High dimensional accuracy surpassed by none.For instance,the dimensional tolerances for diaphragms of G4 and G6 classes are as given above. 不刻求其他条件的尺寸精确度，例如：G4、G6型的组膜深度尺寸公差也按上表所示。
- Humanoid beings exist in higher dimensions. 有人特点的生命存在于更高维度内。
- But the nolinear calibration weighting method is just fitting for the hard question, particularly in some kinds of situations, such as high dimensional and complex dataset. 但是非线性的口径加权却可以很好的解决这样的问题，尤其是对于一些高维的复杂的数据。
- 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。
- Firstly, two types of complimentary features are extracted using ICA.Then thoes features under different weighting are concatenated to form a high dimensional fused feature. 首先提取人耳的2种具有互补性质的独立成分特征，然后将它们加权串联形成高维融合特征；
- 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。
