Venkatasubramanian and colleagues performed a series of tests of their new method with "synthetic data" - data points in a "high-dimensional space."
文卡和同事们用“模拟数据”(“高维空间”的数据点)完成了这种新方法的一系列测试。
Generally, grinding is considered to be a finishing process that is usually used for obtaining high-dimensional accuracy and better surface finish.
一般而言，磨削被认为是一种通常用于获得高尺寸精度和较好表面光洁度的精加工作业。
Simulations show that proposed algorithm has more powerful optimizing ability and higher optimizing precision in high-dimensional function optimization than literature algorithms.
实验结果表明，与文献算法相比，该算法在处理高维函数优化时具有更强的寻优能力和更高的搜索精度。
It is hard to cluster high-dimensional data using traditional clustering algorithm because of the sparsity of data.
在高维空间中，由于数据的稀疏性，传统的聚类方法难以有效地聚类高维数据。
Simulation results show that SPCEP is obviously superior to classical CEP and SPMEP for high-dimensional functions.
实验结果表明，在处理高维单模函数时，SPCEP的性能比CEP和SPMEP有显著的提高。
The enhancement of high-dimensional indexing technique is necessary to improve the performance of image database retrieval.
为了提高图像数据库的检索效率，必须提高高维索引的效率。
The intrinsic dimension estimation of high-dimensional data, is important in the field of high-dimensional data processing.
高维数据的本征维数估计问题研究，在高维数据处理领域中有着重要的地位。
Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.
提出了一种适用于高维数值优化问题的空间分割微粒群算法。
The splitting strategy for high dimensional data set is important for the performance of the indexing of high-dimensional database.
数据集的划分策略是影响高维数据库索引性能的一个关键因素。
The complexity of feature selection for real-world data stream will increase because of high-dimensional data and concept drifting.
概念流动的出现及数据的高维性增加了数据流特征选择的复杂性。
The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.
实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。
With the expansion of the application field of clustering analysis, more and more high-dimensional and mixed-type data need to be processed.
随着聚类分析的应用领域日益扩展，越来越多高维的、混合类型属性数据需要处理。
The results show clearly that the proposed algorithm is effective as well as efficient for the complex high-dimensional optimization problems.
测试结果表明，新算法对复杂的高维优化问题可行有效。
Venkatasubramanian and colleagues performed a series of tests of their new method with "synthetic data" - data points in a "high-dimensional space. "
文卡和同事们用“模拟数据”（“高维空间”的数据点）完成了这种新方法的一系列测试。
The SVM (Support vector Machine) classifies the data by mapping the vector from low-dimensional space to high-dimensional space using kernel function.
而SVM(支持向量机)引进核函数隐含的映射把低维特征空间中的样本数据映射到高维特征空间来实现分类。
To speed up high-dimensional similarity search efficiency, a novel high-dimensional indexing structure based on dual distance metric (DDM) was proposed.
为了提高高维数据相似查询的效率，提出一种基于双重距离尺度(DDM)的新型高维索引结构。
An adaptive fuzzy control scheme is presented to control model unknown coupled spatiotemporal chaos composed of high-dimensional continuous-time subsystems.
对模型未知的子系统是多维的连续时间耦合系统的时空混沌提出了自适应模糊控制方法。
Most scholars were committed to study the low-dimensional measuring error of the CMM(Coordinate Measuring Machine), few to research the high-dimensional model.
目前对三坐标测量机测量误差建模的研究，常见的是低维模型，多元模型很少有学者探讨。
Owing to the sparsity of high-dimensional data and the features of categorical data, it needs to develop special methods for high-dimensional categorical data.
现有的数据聚类方法仍存在着各种不足，聚类速度和结果的质量不能满足大型、高维数据库上的聚类需求。
Based on Z curve, the paper presents a method of grid partition, a procedure of partitioning search region, and a high-dimensional spatial range query algorithm.
利用Z曲线聚类和降维特性，本文给出网格划分方法、搜索区域分解过程，提出一种高维空间范围查询算法。
Results of the experiment indicated the PKNN enhance efficiency of text classification, and the PKNN is especially effective in large high-dimensional text categorization.
实验结果表明，PKNN算法可以明显提高KNN算法的效率，PKNN算法的原理决定其适合大容量高维文本分类。
Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
Image super-resolution restoration and enhancement (SR) based on reconstruction is a typically ill-posed and high-dimensional problem, which needs effective regularization to stable the solution.
基于重建的超分辨率（SR）方法中，图像求解是典型的高维病态问题，需借助有效的正则来稳定求解。
Due to the high-dimensional mapping that neural network fits contains complex intrinsic attribute dependencies, the traditional optimization methods have not conducted the analytical study on it.
由于神经网络拟合的高维映射存在复杂的内在属性依赖关系，而传统的优化方法却没有对其进行分析研究。
To overcome the shortcomings of the GCOD, a high-dimensional clustering algorithm for data mining, the paper proposes an intersected grid clustering algorithm based on density estimation (IGCOD).
针对高维聚类算法——相交网格划分算法GCOD存在的缺陷，提出了基于密度度量的相交网格划分聚类算法IGCOD。
To overcome the shortcomings of the GCOD, a high-dimensional clustering algorithm for data mining, the paper proposes an intersected grid clustering algorithm based on density estimation (IGCOD).
针对高维聚类算法——相交网格划分算法GCOD存在的缺陷，提出了基于密度度量的相交网格划分聚类算法IGCOD。
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