This is the result of the four polar bonds clustering symmetrically in space.
这是四个极性键按空间对称聚集的结果。
So consider embedding less free space when using SSDs, since the clustering sequence may not be so important.
因此考虑在使用SSD 时嵌入较少的空闲空间，因为集群顺序可能并不那么重要。
For best performance and minimal space consumption, we recommend using database partitioning, range partitioning, compression, and multi-dimensional clustering.
为了获得更好的性能和最小化空间消耗，我们建议使用数据库分区、范围分区、压缩和多维集群。
The main purpose of allocating free space is to keep the data rows in the same physical sequence as the clustering index, thus reducing the need to frequently reorganize the data.
分配空余空间的主要目的是使数据行的物理顺序与群集索引一致，以减少频繁重组数据的需要。
Allowing too much free space, however, could cause extra pages to be read for queries and largely defeat the purpose of using a clustering index.
不过，如果允许太多自由空间的存在，则可能导致查询时需要读取额外的页，这反而大大违反了使用群集索引的本意。
Based on concept space and text clustering technique as well as traditional keyword searching method, it could help users to locate the information they need quickly and precisely.
这种检索方法在文本聚类的基础上，基于概念空间并与传统的关键词检索相结合能够帮助用户快速、准确地定位所需要查找的信息。
In many implementations of clustering, items in the collection are represented as vectors in an n-dimensional space.
在许多集群实现中，集合中的项目都是作为矢量表示在n维度空间中的。
I did a little research on WADI to understand where it plays in the clustering space and found out that it used to be concerned mainly with Web application distributed state management.
我对WADI做了些研究，以便理解它在集群中的什么地方发挥作用，结果发现它主要用来处理Web应用程序的分布式状态管理。
A stochastic clustering method based on pairwise similarity of elements was utilized to cluster feature space.
利用基于元素间相似性的随机聚类方法对特征空间进行聚类。
MFCC USES intermediate clustering results in one type of feature space to help the selection in other types of feature Spaces.
MFCC充分利用了一个特征空间的中间聚类结果来帮助另一个特征空间进行特征选择。
In order to track a target in space and scale in a complex background, a target tracking algorithm based on the nonparametric clustering and multi-scale images is presented.
为了实现复杂背景下的目标空间定位和尺度定位，提出了一种基于非参数聚类和多尺度图像的目标跟踪算法。
The fuzzy space and the number of fuzzy rules of this model are defined by the fuzzy clustering method and weight coefficients of the model are adjusted by the BP algorithm.
该模型利用模糊聚类技术确定系统的模糊空间和模糊规则数，利用BP算法调整模糊神经网络的权系数。
The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.
利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。
A quantitative definition is proposed at the beginning of this paper. The integral character of the state space is created using the clustering method based on ant colony.
该文首先给出了离群数据的量化定义，并用基于蚁群的聚类学习方法，产生了状态空间的整体特征。
An information retrieval model based on language concept space and a clustering method which serves the IR model is propsed.
提出了一种以语言概念空间中的概念为聚类对象的信息检索方法以及适合于该方法的聚类算法。
Finally, considering the consecution of the district of the pixel space, on the basis of the result of color clustering, the region-growing is wanted to be processing.
最后考虑到像素空间的区域连续性，在颜色聚类结果的基础上进行区域生长。
Second under the principle of mapping color stimulus spectrum to rgb color space every clustering is visualized by the chromaticity diagram of j. c. maxwell's triangle plane coordinate.
然后，采用彩色刺激光谱投影到rgb颜色空间的原理，通过色度学中麦克斯韦的三角平面坐标色度图对各聚类结果进行可视化显示。
Dimensionality reduction applied to the customer space effectively groups similar customers into clusters; as we now describe, such clustering can also degrade recommendation quality.
向顾客空间应用维度降低技术，能有效地把相似顾客组合为群组，正如我们现在所说的，这样的聚类也会降低推荐的品质。
The paper analyzes the characteristics of fuzziness of dynamic space occupancy of different vehicles on urban arterials, and classifies the different vehicles by means of fuzzy clustering.
从定义各类型车辆所占用的动态空间瞬时车道占有率入手，提出了以车辆瞬时占用车道长度与速度的比值为参数，基于模糊动态聚类对车辆进行分类的方法。
The main features are the clustering in time, the migrating in space and the orderliness in migratory route.
地震活动的主要特点表现为时间上的成丛性、空间上的迁移性及丛内迁移的有序性；
To improve the accuracy of text clustering, fuzzy c-means clustering based on topic concept sub-space (TCS2FCM) is introduced for classifying texts.
为了改善文本聚类的准确度，提出用基于主题概念子空间的模糊c -均值聚类(TCS2FCM)方法来分类文本。
In this method, subtractive clustering was adopted to divide the input space into several sub-spaces, and sub-models were built by Least Square SVM (ls SVM) in every sub-space.
该建模方法通过减聚类方法将输入空间划分为一些小的局部空间，在每个局部空间中用最小二乘支持向量机(LS -SVM)建立子模型。
It presents a weighted clustering and evolution analysis framework in order to solve clustering analysis problem of infinite data streams in finite space.
为解决无限数据流在有限内存空间中的聚类分析问题，本文提出了一种加权聚类及演化分析框架。
A clustering result evaluating algorithm is presented in a gravitational way, where all the data points in the data space are regarded as the particles assigned with unit mass.
为了定量分析聚类算法的聚类结果，提出了基于引力概念的聚类质量评估算法。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
The clustering concept is applied to the measurements of the laser warner, and space-time fusion for the measurements in the same cluster is made.
利用聚类概念，对激光告警器测量数据进行集类，并对各个类对应的目标状态进行空间-时间融合。
The sparsity and the problem of the curse of dimensionality of high-dimensional data, make the most of traditional clustering algorithms lose their action in high-dimensional space.
高维数据的稀疏性和“维灾”问题使得多数传统聚类算法失去作用，因此研究高维数据集的聚类算法己成为当前的一个热点。
Traditional clustering method for attribute space ignores the object relationship information.
传统聚类算法仅考虑属性相似性，较少利用对象间的相互关系。
Traditional clustering method for attribute space ignores the object relationship information.
传统聚类算法仅考虑属性相似性，较少利用对象间的相互关系。
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