Cluster diagram

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A Cluster diagram or clustering diagram is a general type of diagram, which represents some kind of cluster. A cluster in general is a group or bunch of several discrete items that are close to each other.

The cluster diagram figures a cluster, such as a network diagram figures a network, a flow diagram a process or movement of objects, and a tree diagram an abstract tree. But all these diagrams can be considered interconnected: A network diagram can be seen as a special orderly arranged kind of cluster diagram. A cluster diagram is a mesh kind of network diagram. A flow diagram can be seen as a line type of network diagram, and a tree diagram a tree type of network diagram.

Types of cluster diagrams[edit]

Specific types of cluster diagrams are:


  • In architecture a comparison diagram is sometimes called a cluster diagram.[1]
  • In astronomy diagrams of star clusters, galaxy clusters or globular clusters.
  • In brainstorming a cluster diagrams is also called cloud diagram. They can be considered "are a type of non-linear graphic organizer that can help to systematize the generation of ideas based upon a central topic. Using this type of diagram... can more easily brainstorm a theme, associate about an idea, or explore a new subject".[2] Also, the term cluster diagrams is sometimes used as synonym of mind maps".[3]



See also[edit]

References[edit]

  1. ^ Illustration called City of London Skyscraper Cluster Diagram at skyscrapernews.com. Retrieved 18 september 2008. Comment: This illustration depicts a "comparison diagram", but yet is called a "cluster diagram".
  2. ^ Cluster/Cloud Diagrams at enchantedlearning.com. 2003-2009. Accessed Nov 17, 2009.
  3. ^ Cluster diagrams are another way to mind map by starting with the keywords first. Archived 2008-09-28 at the Wayback Machine at www.brainstorming-that-works.com. Retrieved 18 september 2008.
  4. ^ T. Daniel Crawford (1998). "An Introduction to Coupled Cluster Diagrams Archived 2008-01-15 at the Wayback Machine". In: Reviews in computational chemistry. Kenny B. Lipkowitz, Donald B. Boyd eds. (2000) Vol 14. p.77. (Retrieved 18 september 2008).

Further reading[edit]

  • Lee E. Brasseur (2003). Visualizing technical information: a cultural critique. Amityville, N.Y: Baywood Pub. ISBN 0-89503-240-6.
  • M. Dale and J. Moon (1988). "Statistical tests on two characteristics of the shapes of cluster diagrams". in: Journal of Classification, 1988, vol. 5, issue 1, pages 21–38.
  • Robert E. Horn (1999). Visual Language: Global Communication for the 21st Century. MacroVU Press.

External links[edit]