3. 集群方法 ...大的相似性之间相似度的统计量,以此为依据,采用某种集群方法(cluster method),将所有样本(或变量)分别集群到不 …www.cnshu.cn|基于5个网页 更多释义 例句 释义: 全部,聚类方法,星团方法,集群方法 更多例句筛选 1. This paper presents a cluster method for disc
系统聚类法(Hierarchical Cluster Method)——解决名义尺度变量“距离难题” 度量(Scale):又称定距变量或刻度变量,一般为有刻度度量的连续变量,它的取值之间可以比较大小,且可以定义距离。例如年龄。 有序(Ordinal):一种分类变量,但是取值范围之间有内在的大小顺序或等级。例如“学校满意度”,表示为{"很不满意":1,"...
Get HCI cluster. Request Path: /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.AzureStackHCI/clusters/{clusterName} Operation Id: Clusters_Get C# คัดลอก public virtual Azure.Response<Azure.ResourceManager.Hci.HciClusterResource> Get...
ClusApplication.OpenCluster( _ ByVal strClusterName _ ) Parameters strClusterName String containing the name of the cluster to open. If set to a zero-length string (""), the method will open a connection to the local node's cluster. Return value A Cluster object that receives the open...
CLUSTER COMMUNICATION METHODPROBLEM TO BE SOLVED: To provide a cluster communication method for connecting clusters with each other in a mesh shape.SONE TOSHIHITO曽根 利仁
SetSecondaryReplicationGroup method SmapiAddMember method SmapiGetPairCluster method SmapiPairCluster method SmapiQueryPartnerGroupStatus method SmapiQueryPartnerPartitions method SmapiQueryReplicatedPartitions method SmapiRemoveMember method SmapiUnpairCluster method SuspendGroup method SyncGroup met...
ST_ClusterEnvelope Method Returns the geometry of a cell (inner rectangle). This method works for the following cluster algorithm: Grid. Syntax ST_ClusterEnvelope() Parameters NameTypeDescription Table column ST_Point Method ST_Envelope operates on table columns of type ST_Point. Returns Metadata...
Learn more about the Microsoft.ComputeCluster.Cluster.Finalize in the Microsoft.ComputeCluster namespace.
CPM(Cluster Percolation method)派系过滤算法 一、概念 (1)完全子图/全耦合网络/k-派系:所有节点全部两两相连 图1 这些全耦合网络也成为派系,k-派系表示该全耦合网络的节点数目为k 1)k-派系相邻:两个不同的k-派系共享k-1个节点,认为他们相邻 2)k-派系连通:一个k-派系可以通过若干个相邻的k-派系到达另一...
Overall, the COMMUNAL method for mapping unsupervised clustering integrates information from multiple subsets, algorithms and validity metrics (optimized to the local data) to provide the user with a 3D map of cluster optimality. This map can assist in determining a robust choice of optimal cluster ...