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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 ...
A graphic organizer, also known as a knowledge map, concept map, story map, cognitive organizer, advance organizer, or concept diagram, is a pedagogical tool that uses visual symbols to express knowledge and concepts through relationships between them. [1]
Every cluster graph is a block graph, a cograph, and a claw-free graph. [1] Every maximal independent set in a cluster graph chooses a single vertex from each cluster, so the size of such a set always equals the number of clusters; because all maximal independent sets have the same size, cluster graphs are well-covered.
Data points may be labelled if there are few of them. Dot plots are one of the simplest plots available, and are suitable for small to moderate sized data sets. They are useful for highlighting clusters and gaps, as well as outliers. Forest plot : is a graphical display that shows the strength of the evidence in quantitative scientific studies.
The Melotte catalogue is a catalogue of 245 star clusters compiled by British astronomer Philibert Jacques Melotte. It was published in 1915 as A Catalogue of Star Clusters shown on Franklin-Adams Chart Plates. [1] Catalogue objects are denoted by Melotte, e.g. "Melotte 20". Dated prefixes include as Mel + catalogue number, e.g. "Mel 20". [2]
A concept map or conceptual diagram is a diagram that depicts suggested relationships between concepts. [1] Concept maps may be used by instructional designers, engineers, technical writers, and others to organize and structure knowledge.
Another cluster of advisories was in place Friday across the portions of Washington, Idaho and Montana, where heavy snow is possible through Sunday, according to the National Weather Service.
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).
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