An entity cluster is established by the combination of multi-interrelated entities into a single abstract entity object. An entity cluster is not actually an entity in the ERD because it is a temporary entity, which is used for multiple entities and relationships to simplify ERD and enhance its readability. It is used to represent the multiple ...
May 31, 2016 · An entity cluster is an entity type that is used to represent multiple entities and ERD relationships. Entity clusters form by combining multiple interrelated entities into a single abstract entity object. Entity clusters can also be considered “virtual” or “abstract” since it is not actually an entity that exists in the final ERD, it ...
(skipped) Response: Improves the performance of a single compute system in the cluster Eliminates failure of a physical compute system in the cluster Reduces the cost of service implementation Provides high availability for the service running in the cluster Score 0 of 1 Question: What is an advantage of implementing compute clusters?
What is a key advantage of implementing FCIP? A. Provides a disaster recovery solution by replicating data across data centers. B. Enables migration of VMs across data centers by using existing FC networks. C. Ensures lossless transmission of FC traffic across data centers over Ethernet. D. Provides a dedicated network for transmission of storage traffic within a data center.
K-means clustering algorithm computes the centroids and iterates until we it finds optimal centroid. It assumes that the number of clusters are already known. It is also called flat clustering algorithm. The number of clusters identified from data by algorithm is represented by ‘K’ in K-means.
We can understand the working of K-Means clustering algorithm with the help of following steps −
The following two examples of implementing K-Means clustering algorithm will help us in its better understanding −