When you enable clustering on the slave ASA, it is disabled immediately with a remote procedure call (RPC) error message. This is an example of the error message: ASA2/ClusterDisabled(config)# cluster group TEST-GroupASA2/ClusterDisabled(cfg-cluster)# enable as-...
\(K\)-means is an example of a partitioning clustering algorithm because it operates based on the cluster centroid15,19. Numerous uses of the \(K\)-means cluster have been documented. In addition to enhancing the reliability of wireless sensor networks, \(K\)-means clustering was also used...
In the development of a task-oriented dialogue system, defining the dialogue structure is a time-consuming task. Hence, several works have looked into auto
Each of the 20 data items is assigned to one cluster with an ID of 0, 1 or 2. The cluster assignments are stored in an array, where the array index corresponds to a data index and the array value is the associated cluster ID. For example, the final clustering of the demo data is:...
The above showed some basics of how you can control cluster discovery and avoid the common pitfall. What if you application can run on a cluster or non-clustered server. In this case you are likely to need to do more than a simple registry discovery. An example of this is SQL server. ...
where1-alphais the restart probability of the random walk. We can subsequently visualize the ECS on a PCA of the data: In addition to flat disjoint clusterings (like the result of k-means for example), ClustAssess can also compare overlapping clusterings and hierarchical clusterings; refer to...
Chromosome clustering promotes rapid and complete capture of all chromosomes by the assembling spindle. Chromosome clustering is therefore an essential stage of porcine and human oocyte development. Results Human and porcine oocytes cluster their chromosomes We first characterized chromosome clustering in ...
If we would install file server on standalone Windows machine, we would create a single point of failure. Therefore,high availability of a file share serveris also an important part of the overall SAP system HA s...
Genome-wide data is used to stratify patients into classes for precision medicine using clustering algorithms. A common problem in this area is selection of the number of clusters (K). The Monti consensus clustering algorithm is a widely used method whic
Virtual Server 2005 R2 and the server cluster feature in Windows Server 2003, so that you can consolidate servers onto one physical host server without causing that host server to become a single point of failure. To give an example, suppose you had two physical servers providing client services...