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Sequencing of instructional terms based on cluster analysis with weighted graph

โœ Scribed by Norihito Toyota; Takeo Saegusa


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
380 KB
Volume
31
Category
Article
ISSN
0882-1666

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โœฆ Synopsis


We have proposed a structuring method of instructional terms and a clustering method with multiplicity on the basis of a weighted graph. In this paper we propose a consistent sequencing method of instructional terms based on them. Here we consider level and relevancy (degree) as the principle of the sequencing and give a set of rules for consistent sequencing with respect to them. They are represented as the rules on the adjacency matrix and a vertex decomposition method for it is discussed. We illustrate the method in some examples comparing the traditional method and make clear the properties of our method. Lastly we summarize the method by picturing a whole instructional strategy space.


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A DNA primary sequence is a string consisting of letters on an alphabet X 5 {a, c, g, t}. Based on all of the 2-combinations of the set X, here the repetition is allowed, we transform a DNA primary sequence into a special sequence over a set with cardinality 10. With the 10-letter sequence, we assoc