摘要
<正>本文以概率与统计的观点陈述R型主成分分析的基本原理及其性质,利用一个大小为50的费吉利亚鸢尾科植物样本作为主成分分析的例题,并就《陆地卫星CCT数据压缩处理的研究》一文中的主成分及其方差的基本概念,KLT与“R型因子分析”的关系,以及各主成分在对应样点上的得分等问题,进行商榷。
Abstract
Using a sample of plant (Iris virginica, 50 in size) as an example, basic principles (and their nature) of the R-type principal components analysis are described from view points of probability and statistics. Discussions are also made about the basic concepts of the principal components and their variances, the relationship between the KLT (Karhunen-Loeve transformation) and the "R-factor analysis" and the scores of various principal components at corresponding sampling points as are mentioned in 《A Study on the Compression Processing of the CCT Data Gathered by land Satellites》
朱明德.
R型主成分分析及其在林业中的应用——兼与《陆地卫星CCT数据压缩处理的研究》一文商榷[J]. 南京林业大学学报（自然科学版）. 1983, 7(02): 83-91 https://doi.org/10.3969/j.jssn.1000-2006.1983.02.008
Zhu Mingde.
THE R-TYPE PRINCIPAL COMPONENTS ANALYSIS AND ITS APPLICATION TO FORESTRY——CONCURRENTLY A DISCUSSION AS TO 《A STUDY ON THE COMPRESSION PROCESSING OF THE CCT DATA GATHERED BY LAND SATELLITES》[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 1983, 7(02): 83-91 https://doi.org/10.3969/j.jssn.1000-2006.1983.02.008
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