Vícerozměrné statistické metody v biologii

作者: Danka Haruštiaková , Simona Littnerová , Jiří Jarkovský , Ladislav Dušek

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摘要: Vicerozměrne statisticke metody představuji velice užitecný nastroj pro uchopeni, zjednoduseni a vizualizaci velmi složitých dat. Cilem tohoto ucebniho textu je ve strucne a přehledne formě představit postupy analýz, objasnit zaklady jejich využiti poskytnou navody ke spravne interpretaci výsledků.

参考文章(17)
M. O. Hill, Correspondence Analysis: A Neglected Multivariate Method Applied Statistics. ,vol. 23, pp. 340- 354 ,(1974) , 10.2307/2347127
Jan Lepš, Petr Šmilauer, Multivariate analysis of ecological data using CANOCO Cambridge University Press. ,(2003) , 10.1017/CBO9780511615146
E.J Pauwels, G Frederix, Finding salient regions in images: nonparametric clustering for image segmentation and grouping Computer Vision and Image Understanding. ,vol. 75, pp. 73- 85 ,(1999) , 10.1006/CVIU.1999.0763
Lawrence Hubert, James Schultz, Quadratic assignment as a general data analysis strategy. British Journal of Mathematical and Statistical Psychology. ,vol. 29, pp. 190- 241 ,(1976) , 10.1111/J.2044-8317.1976.TB00714.X
Mark Van der Laan, Katherine Pollard, Jennifer Bryan, A new partitioning around medoids algorithm Journal of Statistical Computation and Simulation. ,vol. 73, pp. 575- 584 ,(2003) , 10.1080/0094965031000136012
Peter J. Rousseeuw, Silhouettes: a graphical aid to the interpretation and validation of cluster analysis Journal of Computational and Applied Mathematics. ,vol. 20, pp. 53- 65 ,(1987) , 10.1016/0377-0427(87)90125-7
David L. Davies, Donald W. Bouldin, A Cluster Separation Measure IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 1, pp. 224- 227 ,(1979) , 10.1109/TPAMI.1979.4766909