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A Cluster Analysis Comparison of Selected Traditional Japanese Gardens, Classical Chinese Gardens and Modern Chinese Gardens.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	A Cluster Analysis Comparison of Selected Traditional Japanese Gardens, Classical Chinese Gardens and Modern Chinese Gardens./
作者:	Chen, Dexin.
面頁冊數:	1 online resource (110 pages)
附註:	Source: Masters Abstracts International, Volume: 57-05.
標題:	Landscape architecture. -
電子資源:	click for full text (PQDT)
ISBN:	9780355875027

A Cluster Analysis Comparison of Selected Traditional Japanese Gardens, Classical Chinese Gardens and Modern Chinese Gardens.
Chen, Dexin.

A Cluster Analysis Comparison of Selected Traditional Japanese Gardens, Classical Chinese Gardens and Modern Chinese Gardens. - 1 online resource (110 pages)

Source: Masters Abstracts International, Volume: 57-05.

Thesis (M.A.)--Michigan State University, 2018.

Includes bibliographical references

Cluster analysis is a useful mathematical method that has been used to examine the differences or similarities between gardens (Xu Y. , 2015). This investigation aims to test the differences and similarities between traditional Japanese gardens in Kyoto, the classical Chinese gardens in Suzhou, and the modern Chinese gardens in Xiamen, by comparing the design elements and design principles of theose gardens. A hundred and thirty-four variables are selected based upon a literature review and the author's personal experience in Kyoto, where the first seventy-five variables are adopted from earlier garden research by Yiwen Xu (Xu Y. , 2015). After collecting the variables and applying the Principal Component Analysis by the software SAS, a group of corresponding eigenvalues are generated. According to the Principal Component Analysis, the first two principal components covered 63.81 percent of the sample variance. The first and second principal component together divided the gardens into three groups:; the first principal component indicated the similarities between theof traditional Japanese gardens and classical Chinese gardens; the second principal component indicatedmplied the similarities betweenof traditional Japanese gardens and modern Chinese gardens. Therefore, the final result is a group of three two-dimensional scatter graphs, where each point represents a garden's character on two coordinate axes, and the dimensions are generated from the meaningful eigenvalues.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355875027Subjects--Topical Terms:

555495
Landscape architecture.
Index Terms--Genre/Form:

554714
Electronic books.

A Cluster Analysis Comparison of Selected Traditional Japanese Gardens, Classical Chinese Gardens and Modern Chinese Gardens.
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245 1 2 $a A Cluster Analysis Comparison of Selected Traditional Japanese Gardens, Classical Chinese Gardens and Modern Chinese Gardens.
264 0 $c 2018
300 $a 1 online resource (110 pages)
336 $a text $b txt $2 rdacontent
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500 $a Source: Masters Abstracts International, Volume: 57-05.
500 $a Adviser: Jon B. Burley.
502 $a Thesis (M.A.)--Michigan State University, 2018.
504 $a Includes bibliographical references
520 $a Cluster analysis is a useful mathematical method that has been used to examine the differences or similarities between gardens (Xu Y. , 2015). This investigation aims to test the differences and similarities between traditional Japanese gardens in Kyoto, the classical Chinese gardens in Suzhou, and the modern Chinese gardens in Xiamen, by comparing the design elements and design principles of theose gardens. A hundred and thirty-four variables are selected based upon a literature review and the author's personal experience in Kyoto, where the first seventy-five variables are adopted from earlier garden research by Yiwen Xu (Xu Y. , 2015). After collecting the variables and applying the Principal Component Analysis by the software SAS, a group of corresponding eigenvalues are generated. According to the Principal Component Analysis, the first two principal components covered 63.81 percent of the sample variance. The first and second principal component together divided the gardens into three groups:; the first principal component indicated the similarities between theof traditional Japanese gardens and classical Chinese gardens; the second principal component indicatedmplied the similarities betweenof traditional Japanese gardens and modern Chinese gardens. Therefore, the final result is a group of three two-dimensional scatter graphs, where each point represents a garden's character on two coordinate axes, and the dimensions are generated from the meaningful eigenvalues.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Landscape architecture. $3 555495
655 7 $a Electronic books. $2 local $3 554714
690 $a 0390
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Michigan State University. $b Environmental Design. $3 1187660
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10809415 $z click for full text (PQDT)