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  1. CLUSTER Definition & Meaning - Merriam-Webster

    The meaning of CLUSTER is a number of similar things that occur together. How to use cluster in a sentence.

  2. What is a cluster? – Definition from TechTarget

    Sep 19, 2022 · Many businesses deploy high-performance computing infrastructure, using clusters of inexpensive, tightly connected computers or nodes paired with a distributed …

  3. An Overview of Cluster Computing - GeeksforGeeks

    Mar 31, 2021 · Cluster computing is a collection of tightly or loosely connected computers that work together so that they act as a single entity. The connected computers execute operations …

  4. CLUSTER | English meaning - Cambridge Dictionary

    Typically, cell cluster shape replicates the form of an available free surface. Cluster munitions tend to have a high death rate and pose a serious risk to citizens, especially when used close to …

  5. CLUSTER Definition & Meaning - Dictionary.com

    Cluster definition: a number of things of the same kind, growing or held together; a bunch.. See examples of CLUSTER used in a sentence.

  6. CLUSTER definition and meaning | Collins English Dictionary

    One can find clusters of them containing berries of all these colours mixed together.

  7. Clusters - Institute For Strategy And Competitiveness - Harvard ...

    Jun 1, 2006 · Today’s economic map of the world is characterized by “clusters.” A cluster is a geographic concentration of related companies, organizations, and institutions in a particular …

  8. Cluster - definition of cluster by The Free Dictionary

    The famous Thames barges sit in brown clusters upon the water with an effect of birds floating upon a pond.

  9. Cluster Definition & Meaning - YourDictionary

    Cluster definition: A group of the same or similar elements gathered or occurring closely together; a bunch.

  10. Clustering in Machine Learning - GeeksforGeeks

    Jan 27, 2025 · Density-based clustering identifies clusters as areas of high density separated by regions of low density in the data space. Unlike centroid-based methods, density-based …