Clustering analysis has been used in many field of life. K-Means cluster is classic partitioning Clustering.
聚类分析已经被广泛地应用于生活中的各个领域。
I have a few comments about transaction logging in R5, partitioning, and clustering, and how they affect performance.
我要对R 5中的事务日志、分区、集群以及它们如何影响性能进行评论。
These recommendations address the database schema, the choice between XML and relational storage, definition of indexes, and physical data organization with partitioning and clustering options.
这些建议涉及了数据库模式、XML与关系存储之间的选择、索引的定义以及带有分区和集群选项的物理数据组织。
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 Advanced DBA exam gets into federated databases, partitioning, materialized query tables, and multidimensional clustering tables.
AdvancedDBA考试涉及到联邦数据库、分区、具体化的查询表和多维集群表。
Under index-controlled partitioning, the concepts of partitioned table, partitioning index and clustering were all intertwined.
对于索引控制的分区方法，分区的表、分区索引和群集这几个概念之间有点纠缠不清。
The Design Advisor now provides advice on materialized query tables (MQTs), multidimensional clustering tables (MDCs), and Data partitioning Feature (DPF) partitioning keys, in addition to indexes.
除了索引外，Design Advisor还提供关于物化查询表(MQT)、多维集群表(MDC)和数据分区功能(DataPartitioning Feature,DPF)分区键的建议。
Improve availability with clustering and dynamic hardware partitioning capabilities.
提高可用性与聚类和动态硬件分区能力。
The clustering method based on partitioning is mainly included K-Means and K-Medoids; the other methods are the mutation of these two methods.
基于划分的聚类算法主要有K均值和K中心点算法，其他的方法都是这两种算法的变种。
A clustering algorithm based on density and partitioning method is presented according to the analysis of the strengths and weaknesses of traditional clustering algorithms.
在分析常用聚类算法的特点和适应性基础上提出一种基于密度与划分方法的聚类算法。
Rooted in the requirement of data partitioning in parallel learning, we proposed our cluster method by improving a current clustering equally method.
起源于并行学习算法对数据划分的要求，在对一种现行等分割聚类算法进行改进的基础上，本文提出自己的等分聚类算法。
The purpose of the clustering algorithm is to support the data replication for improving data availability at the point of network partitioning in the MANET environment.
算法的目的是为了支持MANET环境中的数据复制，通过分簇来预测网络分割，以提高数据访问的可用性。
Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence.
划分方法的缺点是要求事先给定聚类结果数，对初始划分和输入顺序敏感等。
Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence.
划分方法的缺点是要求事先给定聚类结果数，对初始划分和输入顺序敏感等。
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