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  2. Computer cluster - Wikipedia

    en.wikipedia.org/wiki/Computer_cluster

    A load balancing cluster with two servers and N user stations. Computer clusters may be configured for different purposes ranging from general purpose business needs such as web-service support, to computation-intensive scientific calculations. In either case, the cluster may use a high-availability approach. Note that the attributes described ...

  3. Cluster analysis - Wikipedia

    en.wikipedia.org/wiki/Cluster_analysis

    Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters).

  4. Cluster - Wikipedia

    en.wikipedia.org/wiki/Cluster

    Winter cluster, in beekeeping, a well-defined cluster of honey bees in cold temperatures; Disease cluster, a grouping of cases of disease; Gene cluster, a group of genes (or proteins, or metabolites) whose expression or concentration is similar across a range of conditions; Cluster of microorganisms, as in a colony

  5. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    The following tables compare general and technical information for notable computer cluster software. This software can be grossly separated in four categories: Job scheduler, nodes management, nodes installation and integrated stack (all the above).

  6. Cluster sampling - Wikipedia

    en.wikipedia.org/wiki/Cluster_sampling

    An example of cluster sampling is area sampling or geographical cluster sampling.Each cluster is a geographical area in an area sampling frame.Because a geographically dispersed population can be expensive to survey, greater economy than simple random sampling can be achieved by grouping several respondents within a local area into a cluster.

  7. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    The standard algorithm for hierarchical agglomerative clustering (HAC) has a time complexity of () and requires () memory, which makes it too slow for even medium data sets. . However, for some special cases, optimal efficient agglomerative methods (of complexity ()) are known: SLINK [2] for single-linkage and CLINK [3] for complete-linkage clusteri

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  9. Cluster development - Wikipedia

    en.wikipedia.org/wiki/Cluster_development

    Cluster development (or cluster initiative or economic clustering) is the economic development of business clusters. The cluster concept has rapidly attracted attention from governments, consultants , and academics since it was first proposed in 1990 by Michael Porter .