Presentation 1995/9/22
Cluster Analysis for Weighted Graph
Norihito Toyota, Makoto Fujii, Takashi Fuji, Takeo Saegusa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this article we describe a cluster analysis in the cases with muliplicity which is characteristic of our sutructuring & clustering method. For some simple cases whole structuring diagrams have been given in our previous work. They are comparable to Akabori's optimal method in the number of inverted links. It, however, is not so systematic way and we develop the method so that structuring diagrams in each clustering level are visible. Here we introduce a relevancy based on the multiplicity and make the weighted adjacency matrix by usyng it. A exactly same procedures as in instructional material units are carried out in each cluster level. The superclusters in the last step are completely sequenced and the fact may play some important role in considering teaching strategies.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) structuring of instructional materials / clustering / cluster analysis / weighted relevancy / weighted graph / weighted adjacency matrix
Paper # Et95-70
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Committee ET
Conference Date 1995/9/22(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cluster Analysis for Weighted Graph
Sub Title (in English)
Keyword(1) structuring of instructional materials
Keyword(2) clustering
Keyword(3) cluster analysis
Keyword(4) weighted relevancy
Keyword(5) weighted graph
Keyword(6) weighted adjacency matrix
1st Author's Name Norihito Toyota
1st Author's Affiliation Software Research Laboratry, Hokkaidou Information University()
2nd Author's Name Makoto Fujii
2nd Author's Affiliation Software Research Laboratry, Hokkaidou Information University
3rd Author's Name Takashi Fuji
3rd Author's Affiliation Software Research Laboratry, Hokkaidou Information University
4th Author's Name Takeo Saegusa
4th Author's Affiliation Software Research Laboratry, Hokkaidou Information University
Date 1995/9/22
Paper # Et95-70
Volume (vol) vol.95
Number (no) 260
Page pp.pp.-
#Pages 8
Date of Issue