| 1. | A mst based clustering method with controlling vertexes
一种带控制节点的最小生成树聚类方法 |
| 2. | Lvs provides an ip layer based cluster load balance scheduling method , but it is inefficient in the reliability of load dispatching
Lvs给出了基于ip层的集群负载均衡调度方法，然而在负载分发可靠性方面存在不足。 |
| 3. | On the base of the data mining and genetic algorithm based clustering algorithm research , the improved algorithm verifies the performance in dg - cims
最后在研究遗传算法理论与应用的基础上，将改进后的算法应用于大钢销售系统。 |
| 4. | Invsam , a named , logical entity providing access to the records of a base cluster either directly or through an alternate index
在虚拟存储存取方法（ vsam ）中，提供对一个基簇中的记录进行直接存取或是通过辅助索引存取的一个命名逻辑实体。 |
| 5. | With the rapid development of internet , virtual server based cluster technology is put forward to satisfy the needs for scalable , high available service
随着internet的发展，基于虚拟服务的集群技术被提出来，以满足人们对可伸缩、高可用服务的需求。 |
| 6. | Color image segmentation using density - based clustering . in international conference on acoustic , speech and signal processing , icassp2003 , hong kong , apr . 6 - 10 , 2003 , pp . iii 345 - 348
本文给出了本体中包含的语义的自动提取方法以及基于本体的图像检索方案，并给出了一系列的实验结果。 |
| 7. | This paper introduced an incremental grid density - based clustering algorithm - igdclus , which can find high effectively arbitrary shape clusters , and is applicable in periodically incremental environment
该算法可发现任意形状的聚类，适用于数据的批量更新，具有高的效率且容易实现。 |
| 8. | In the past ten years , industrial cluster has been developing very quickly in china . however , they are mostly low - cost - based clusters of small - medium enterprises . a lot of production resources are wasted
近十几年来，我国产业集群进入了快速发展的轨道，但多是以中小企业为主的低成本型集群，生产资源存在着大量的浪费，企业之间竞争有余而合作不足。 |
| 9. | However , the existing pattern - based and tendency - based clustering approaches are only designed for finding positive regulated gene clusters . in this paper , a new subspace clustering model called g - cluster is proposed for gene expression data
最近提出的基于模式的聚类方法试图解决上述问题，但该方法只能发现任意两个基因表达值间存在某种特定线性关系的共调控基因聚类，如平行，成比例等。 |
| 10. | An adaptive space subdivision method based on clustering is proposed , which completes space subdivision through two steps : first the objects are classified through a new local - density based clustering algorithm , then the space is subdivided according to the clustering
该方法由两个部分构成，首先，通过一个基于局部密度的聚类算法对物体进行聚类；然后，根据聚类结果，通过简化分割方法实现空间分割。 |
