High-dimensional data modeling and analysis.
高维数据建模和分析。
Data mining is about digging up interesting information from this high-dimensional data.
数据挖掘便是要从高维数据中挖出那些令人感兴趣的信息来。
Here, it and three-dimensional bar code presented in this paper are called high-dimensional bar code.
我们把二维条码和本文中提出的三维条码统称为高维条码。
The data sets have features such as high-dimensional, sparseness and binary value in many clustering applications.
在许多聚类应用中，数据对象是具有高维、稀疏、二元的特征。
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。
These strings of hundreds of attributes are called high-dimensional data because each attribute is called one dimension.
文卡说道，“这些包含数百项属性的字符串就称为高维（high-dimensional）数据，而每一项属性就是一维。
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。
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 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。
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。
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。
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。
This method develop one-dimensional MAW method into high-dimensional DLB method by introducing HSFC, block data structure and even more measurement information.
它把仅适用于一维的多层均权法扩展到二维和三维，并引入更多的实测信息和块数据结构。
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。
The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.
支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。
The steel dies with high dimensional accuracy, low surface roughness and long service life have been quickly produced by using prototyping resin molds as patterns of ceramic investment casting.
直接利用激光快速成型的原型树脂模，结合陶瓷型精密铸造技术，制得了高精度、低表面粗糙度、高使用寿命的钢模具。
Powder metallurgy products molding, high dimensional accuracy, can provide customers with all kinds of performance, shape, size and a variety of coating the surface of the magnets.
粉末冶金产品采用模压成型，尺寸精度高，可为客户提供各种性能、形状、尺寸及多种表面涂覆的磁体。
Nowadays the applications of spatial data similarity search are widely needed, and high dimensional spatial data index becomes a key technology of similarity search.
目前空间数据相似性查询有着广泛的应用需求，解决相似性查询问题的一项关键技术就是高维空间数据索引。
Facing the massive volume and high dimensional data, how to build effective and scalable algorithm for data mining is one of research directions of data mining.
面对大规模、高维的数据，如何建立有效的，可扩展的分类数据挖掘算法是数据挖掘研究的重要方向之一。
Facing the massive volume and high dimensional data how to build effective and scalable clustering algorithm for data mining is one of research directions of data mining.
面对大规模的、高维的数据，如何建立有效、可扩展的的聚类数据挖掘算法是数据挖掘领域的一个研究热点。
Applying the method of controlling chaos presented by documents to a high dimensional differential dynamical system, the control of two photon optical bistable system's chaos is discussed.
把对有限维离散化系统混沌控制的方法应用于高维微分动力系统，讨论了双光子光学双稳系统中的混沌控制。
Namely, the applicability of the method is retained from high dimensional systems to low dimensional systems in the symmetry reduction sense.
也就是说，一般多线性变量分离可解性在对称约化下从高维系统到低维系统得到了保持。
This also provide a way of deducing low dimensional systems which can be solved by GMLVSA from high dimensional systems.
这也提供了一条从高维非线性系统导出可GMLVSA求解的低维非线性系统的有效途径。
The fuzzy similarity between two samples is mapped into their Euclidean distance, that is, the high dimensional samples are mapped into the two dimensional plane.
同时将样本之间的模糊相似性映射到样本之间的欧氏距离，即将高维样本映射到二维平面。
The fuzzy similarity between two samples is mapped into their Euclidean distance, that is, the high dimensional samples are mapped into the two dimensional plane.
同时将样本之间的模糊相似性映射到样本之间的欧氏距离，即将高维样本映射到二维平面。
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