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基于KNN算法的改进K-means算法 被引量:6
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作者 徐文进 管克航 +2 位作者 寻晴晴 许瑶 解钦 《青岛科技大学学报(自然科学版)》 CAS 2019年第5期107-111,118,共6页
针对于K-means算法的缺点做出了一些改进,提出了一种基于KNN算法改进K-means的算法。改进后的算法解决了K-means算法K值无法确定和数据分类中的不强、易受异常数据干扰的缺点,提高了算法的聚类效果以及削弱初始聚类中心选择的随机性对... 针对于K-means算法的缺点做出了一些改进,提出了一种基于KNN算法改进K-means的算法。改进后的算法解决了K-means算法K值无法确定和数据分类中的不强、易受异常数据干扰的缺点,提高了算法的聚类效果以及削弱初始聚类中心选择的随机性对于聚类结果易陷入局部最优的影响。实验表明,改进后的算法不仅解决了传统算法确定K值的问题,而且聚类结果稳定且聚类效果良好。 展开更多
关键词 数据中心点 K-MEANS 局部最优 KNN算法
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A Dynamic Load Balancing Method of Cloud-Center Based on SDN 被引量:6
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作者 WANG Yong TAO Xiaoling +1 位作者 HE Qian KUANG Yuwen 《China Communications》 SCIE CSCD 2016年第2期130-137,共8页
In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The appro... In order to balancing based on data achieve dynamic load flow level, in this paper, we apply SDN technology to the cloud data center, and propose a dynamic load balancing method of cloud center based on SDN. The approach of using the SDN technology in the current task scheduling flexibility, accomplish real-time monitoring of the service node flow and load condition by the OpenFlow protocol. When the load of system is imbalanced, the controller can allocate globally network resources. What's more, by using dynamic correction, the load of the system is not obvious tilt in the long run. The results of simulation show that this approach can realize and ensure that the load will not tilt over a long period of time, and improve the system throughput. 展开更多
关键词 SDN cloud computing data center dynamic load balancing
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