A successful clustering strategy can reduce the number of DB2 GETPAGEs ( and also I/ Os), especially if many sequential scans use the clustering index. 成功的集群策略可以降低DB2GETPAGE(还有I/O)数,尤其是当很多顺序扫描使用集群索引时。
The degree of clustering of an index; that is, the extent to which the physical sequence of rows in a table follows an index. 一个索引的群集程度;即,表中行的物理顺序与索引的符合程度。
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。
Avoid having any indexes on the table, if possible, but particularly not a clustering index. 尽可能避免表上有任何索引,尤其是不要有群集索引。
Results: The spatial distributions of clustering land fragmentation Index results are very significant on the township level of Fenyi County. 研究结果:分宜县各乡镇土地利用细碎度指标的聚类结果空间分布规律特征十分显著。
Context-Sensitive Query Expansion Algorithm Based on Fuzzy Clustering of Index Terms 检索词模糊聚类基础上的上下文相关提问扩展算法
Thought the different importance of the gray clustering index, the gray clustering analysis is improved by weighted. 考虑灰色聚类指标的重要程度不同,通过引入指标的权重对灰色聚类分析进行了改进,给出了定权灰色聚类分析方法。
Optimization Method of Clustering Index in Data Warehouse 数据仓库中聚簇索引的优化方法
The paper gives an optimization method of ( clustering) index. 给出了聚簇索引优化的方法。
We then discuss the signification of clustering validity index in the cluster algorithm, and propose a new clustering algorithm based on cluster validity indices. 在此基础上,讨论了聚类有效性函数在聚类算法中的意义,并提出了一种新的基于有效性函数的聚类算法。
The optimization of the materialized view and the dimension table schema and the clustering index is researched to increase the key index to appraise query technology such as query speed and storage space. 本文围绕提高查询速度和节约存储空间作为查询技术评价关键性指标,对物化视图、维表模式和聚簇索引的优化进行了研究。
Approximate k-NN Search in High-Dimensional Spaces Based on the Clustering Index Tree 基于聚类索引树的高维近似检索算法
We choose at each step the merging of clusters that results in the greatest increase ( or smallest decrease) of clustering validity index. 算法每步合并两个簇,使有效性函数值增加最大或减小最少。
The similarity retrieval methods using pruning branches 'strategy based on the recurrence clustering index tree 基于递归聚类索引树的剪枝相似检索算法
Secondly, the reasonable clustering number can be effectively determined by the new Weber-law-based clustering validity index. Weber定律提供了新的聚类有效性标准,并且该方法所得到的合理的聚类数可以依据Weber定律而得到。
According to the experience from engineering practices and reliability theory of building structures, clustering index, quantified criterion and clustering classes are confirmed. 根据工程实践经验和结构可靠度理论,进行分析比较确定聚类指标、评定等级量化标准及聚类灰类。
Using average linkage clustering method and subjective index appraisal method to select special sports talents 运用系统聚类与主观指标综合评价方法选拔专项人才
Due to the limit of improvement in k-NN search efficiency by the traditional index structure, we achieve much higher efficiency at the cost of little precision by combining the approximate search and clustering index tree. 由于传统索引对高维空间的k-近邻检索效率的提高非常有限,我们把近似检索和聚类索引树结合起来,从而用很小的精度损失换取很高的检索效率。
For the popular clustering algorithms, they are compared to obtain the optimum clustering algorithms by internationally recognized data set IRIS, common curve clustering index, the real load curve of electricity customers. 对于常用聚类算法,本文分别从国际公认数据集IRIS、常用曲线聚类评价指标、实际电力用户负荷曲线的聚类结果三方面对各算法进行分析比较,以得出适用于电力负荷曲线聚类的算法。
So, how to evaluate the quality of the clustering results? In the specific application, in order to choose the most appropriate clustering method, people puts forward some clustering evaluation index from a different perspective. 那么,如何评价聚类结果的好坏?在具体的应用中,为了选择最恰当的聚类方法,人们从不同的角度提出了一些聚类评价指标。
Graph clustering quality evaluation index is an important index of evaluating clustering algorithm whether the clustering result is good. 图聚类质量评价体系是评价聚类算法聚类结果好坏的重要指标。
Compared with traditional clustering validity index, new index has two major improvements in the following aspects: The new index does not depend on fuzzy membership matrix. 和传统聚类有效性指数相比,主要在以下几个方面做了改进:新指数不依赖于模糊隶属度矩阵。
From the standpoint of sample geometry, a new clustering validity index called CSP index is designed, and CSP index could evaluate the clustering results of nonconvex structure datasets. 基于样本几何结构,设计了一种新的聚类有效性指标&CSP指标,该指标能够对非凸型结构数据进行有效性分析。
Much research has focused on comparison validity of clustering algorithm, and less comparison clustering evaluation index. 大量的研究集中于基于某种或某些评价指标比较聚类算法的有效性,而较少比较评价指标。
Clustering index method supervised by semantic class and Bayes-based semantic video classification method: A perfect video database organization should be that video feature vectors, which are not only semantic relevant but also their visual features themselves similar, are stored continuously. 基于语义监督的特征聚类索引方法和基于Bayes的视频语义分类方法:理想的视频库组织方法应该把语义相关并且特征相似的视频的特征向量相邻存储。
Based on customer value, the theory, algorithms and clustering visualization, classification index design, simulation, and so on about customer dynamic classification are studied. 以客户价值为基础,研究了客户动态分类的相关理论、算法以及聚类可视化、分类指标设计、模型仿真等内容。
The effect of clustering needs the clustering validity index to evaluate. 对于聚类后的效果,需要聚类有效性指标进行评价。
It adopts k-means clustering methods to divide image pixels into three categories and extract regions of interest of image according to color clustering index generate regional segmentation map and the combination of saliency map and regional segmentation map. 采用K均值聚类的方法将图像象素划分为3类,根据颜色聚类索引图生成区域分割图,结合显著图和区域分割图提取图像感兴趣区。
Established the prominent outburst prediction sensitive indicators of mathematical models and fuzzy clustering analysis index methodology. 建立了矿井的突出预测敏感指标确定分析的模糊聚类数学模型以及分析指标方法体系。