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  2. Dictionary

    clus·ter
    [ˈkləstər]
    noun
    clusters (plural noun)
      • astronomy
        a group of stars or galaxies forming a relatively close association:
        "there are several clusters in Cassiopeia"
      • a natural subgroup of a population, used for statistical sampling or analysis:
        "ten clusters from all the primary health centers were selected"
      • a group of cases of a disease, especially an infectious disease or type of cancer, that occur close together in time or space:
        "clusters of the disease have been reported, leading to speculation about person-to-person transmission"
      • linguistics
        a group of consonants pronounced in immediate succession, as str in strong.
      • chemistry
        a group of atoms of the same element, typically a metal, bonded closely together in a molecule:
        "noble-metal clusters supported on an acidic carrier" · "a cluster compound"
    verb
    clusters (third person present)
    1. be or come into a cluster or close group; congregate:
      "the children clustered around her skirts" · "there were dozens of people clustered around me" · "the rich are likely to cluster together in suburbs"
      • statistics
        (of data points) have similar numerical values:
        "students tended to have scores clustering around 70 percent"
    Origin
    Old English clyster; probably related to clot.
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  3. People also ask
    What is clustering in data science?Clustering is an unsupervised learning strategy to group the given set of data points into a number of groups or clusters. Arranging the data into a reasonable number of clusters helps to extract underlying patterns in the data and transform the raw data into meaningful knowledge. Example application areas include the following:
    What is clustering & how does it work?Clustering is an effective method to ensure high availability, scalability, and fault tolerance in computer systems. Clusters can be categorized into two major types, namely high-availability clusters and load-balancing clusters. High-availability clusters guarantee uninterrupted service provision even when one or more nodes fail.
    What are examples of clustering?Examples of clusters can include genres of music, different groups of users, key segments of a market segmentation, types of network traffic on a server cluster, friend groups in a social network, or many other kinds of categories. The process of clustering can use just one feature of the data or it can use all of the features present in the data.
    What is a cluster based primarily on technology?Clusters are typically defined as collections or groups of items with similar or different characteristics. The group or collection of items constitutes a cluster. The following are three definitions of a cluster related primarily to technology. 1. Enterprise computing.
     
  4. What is a cluster? – Definition from TechTarget

     
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    WebJan 22, 2024 · Clustering is an unsupervised learning strategy to group the given set of data points into a number of groups or clusters. Arranging the data into a reasonable number of clusters helps to extract …

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