期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 50, 期 1, 页码 19-33出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0169-7439(99)00041-6
关键词
convexity; two-way data; key variables; extreme points
The principles for finding pure (or key) variables in two-way non-negative data from mixtures are discussed. It is shown that with a normalization to constant projection on a given vector one obtains a convex and bounded representation of the data with the pure variables as extreme points. An algorithm based upon this observation is compared with other methods for the same purpose and tested using data from the literature. (C) 2000 Elsevier Science B.V. All rights reserved.
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