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- An adaptive criterion for cluster number estimation and the optimal algorithm for image segmentation 图像分类数的自适应估计准则与最优分割算法
- clusters number estimation 聚类个数估计
- This is the cluster number within the network. 这是网络内的群集号。
- Cluster number (middle three digits). cluster number （中间三位数）。
- Cluster number (middle three digits) - values range from 000 to 317. cluster number （中间三位数） -- 取值范围为 000 到 317。
- Annual visitors number estimation around 0.8 - 1 million person-time, daily peak around 6,000 person-time. 预测年参观人数为80~100万人次，日最高峰值约为6,000人次。
- When the a system routes a message it processes the point code bottom-up member number,cluster number,network ID. 系统路由消息时会按照成员号、群集号和网络 ID 的顺序自底向上地处理点编码。
- StartingLcn ：An LCN (cluster number on a volume) to which the VCN is to be moved. 将上面虚拟簇号所对应的那块移动到卷上的哪个簇。对不？
- StartingVcn ：A VCN (cluster number relative to the beginning of a file) of the first cluster to be moved. 文件第一个簇所对应的虚拟簇号。对不？
- Translations must be built 襱op down? network ID, cluster number and member number. 必须按照网络ID、群集号和成员号的顺序自顶向下地构造译码。
- Objective To establish the normal value of motor unit number estimation (MUNE) of thenar muscles, to study its relationship with age and test the reproducibility of the technique and its use in MND. 目的建立大鱼际肌运动单位估数(MUNE)正常值并研究与年龄的关系和该技术的重复性及其在运动神经元病(MND)中的应用。
- ANSI cluster number (middle three digits) - values range is 000 to 317 (e.g.,000-255 = ANSI cluster number OR 000 to 317 = non-ANSI cluster number). ANSI cluster number (中间三位数)-- 取值范围为 000 和 317(例如，000-255 = ANSI 群集号或 000 到 317 = 非 ANSI 群集号)。
- ANSI cluster number (middle three digits) - values range is 000 to 317 (e.g., 000-255 = ANSI cluster number OR 000 to 317 = non-ANSI cluster number). ansi cluster number （中间三位数）-- 取值范围为 000 和 317（例如，000-255 = ansi 群集号或 000 到 317 = 非 ansi 群集号）。
- Cluster number (middle three digits) - values range from 000 to 317 (e.g., 000-255 = ANSI cluster number OR 000-317 = non-ANSI cluster number). cluster number （中间三位数） -- 取值范围为 000 到 317 （例如， 000-255 = ANSI 群集号或 000-317 = 非 ANSI 群集号）。
- The method can cluster signals based on the relevance of signal parameters and does not need to appoint cluster number in advance. 该方法无需预先指定分类数,利用信号参数之间的关联性自动进行聚类,以此达到分选的效果。
- The Clustering takes advantage of geographic information of all nodes to adapt its cluster number, and forms the k clusters based on Minimum Spanning Tree and Kruskal Algorithm. 聚类时充分考虑到节点分布的地理信息，自适应地调节聚类的数目，再根据图论中最小生成树的理论，利用Kruskal算法将所有节点划分为k类。
- Blind Source Separation Based on Signal Number Estimation 基于源数估计的盲源分离
- You can see stars in clusters in the night sky. 你可以看到夜空中的星群。
- Ascertainable clustering number and large training sets are vital problems of spectral clustering. 自动确定聚类数和海量数据的处理是谱聚类的关键问题。
- This paper proposed a multilevel algorithm based on spectral clustering of ascertainable clustering number, which can cope with large training sets. 在自动确定聚类数谱聚类算法的基础上，提出了一种能处理大规模数据集的多层算法。
