GRAMOTA Publishers suggests publishing your scientific articles in periodicals
Pan-ArtPedagogy. Theory & PracticePhilology. Theory & PracticeManuscript

Archive of Scientific Articles

SOURCE:    Historical, Philosophical, Political and Law Sciences, Culturology and Study of Art.
Issues of Theory and Practice
. Tambov: Gramota, 2014. № 6. Part 2. P. 41-45.
SCIENTIFIC AREA:    Study of Art
Procedure of Scientific Articles Publication | To Show Issue Content | To Show All Articles in Section | Subject Index

License Agreement on scientific materials use.

IDENTIFICATION OF COLOUR HIERARCHY OF STRUCTURED ARTISTIC SYSTEMS OF THE ITALIAN RENAISSANCE BY CLUSTER ANALYSIS

Vorontsova Aleksandra Mikhailovna
Kyiv National University of Culture and Arts, Ukraine


Abstract. The article reveals the authentic colour palette of the civil female and male costume and also the textile elements of the interior of Italy of the XV-XVI centuries according to chronological and regional criteria. On the basis of four-colour CMYK autotyping the author implements the encoding of the basic colour zones of the Renaissance costume and textile elements of the interior of various regions of Italy, such as: Tuscany, Venice, Papal States and Lombardy. By mathematical cluster analysis the researcher identified the colour hierarchy of the structured artistic systems of the Italian Renaissance. The visual-graphic interpretation of the findings is represented in the form of histograms.
Key words and phrases: итальянский Ренессанс, колористика костюма и интерьера XV-XVI вв, кластерный анализ, CMYK, the Italian Renaissance, colouristics of costume and interior of the XV-XVI centuries, cluster analysis, CMYK
Open the whole article in PDF format. Free PDF-files viewer can be downloaded here.
References:
  1. Domasev M. V., Gnatyuk S. P. Tsvet, upravlenie tsvetom, tsvetovye raschety i izmereniya. SPb.: Piter, 2009. 217 s.
  2. Zhuravlev Yu. I., Ryazanov V. V., Sen'ko A. V. Raspoznavanie. Matematicheskie metody. Programmnaya sistema. Prakticheskie primeneniya. M.: Fasisa, 2006. 285 s.
  3. Zagoruiko N. G. Prikladnі metodi analіzu danikh і znan'. K.: ІM SO RAN, 1999. 307 s.
  4. Mandel' I. D. Klasternyi analiz. M.: Finansy i statistika, 1988. 277 s.
  5. Oldenderfer M. S., Bleshfild R. K. Klasternyi analiz. Faktornyi, diskriminantnyi i klasternyi analiz / pod. red. I. S. Enyukova. M.: Finansy i statistika, 1989. 215 s.
  6. Prikladnaya statistika: klassifikatsiya i snizhenie razmernosti / S. A. Aivazyan, V. M. Bukhshtaber, I. S. Enyukov, L. D. Meshalkin. M.: Finansy i statistika, 1989. 287 s.
  7. Khaidukov D. S. Primenenie klasternogo analiza v gosudarstvennom upravlenii // Filosofiya matematiki: aktual'nye problemy. M.: MAKS Press, 2009. S. 83-98.
  8. Shumetov V. G., Shumetova L. V. Klasternyi analiz: podkhod s primeneniem EVM. Orel: Orel GTU, 2000. 118 s.
  9. Elektronnyi uchebnik po statistike [Elektronnyi resurs]. URL: http://www.statsoft.ru/home/textbook/default.htm (data obrashcheniya: 08.05.2014).
  10. Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. Springer-Verlag, 2009. 746 p.

Procedure of Scientific Articles Publication | To Show Issue Content | To Show All Articles in Section | Subject Index

© 2006-2024 GRAMOTA Publishers

site development and search engine optimization (seo): krav.ru