Generalizing resemblance coefficients to accommodate incomplete data

Large ecological data matrices may be incomplete for various reasons, preventing the use of standard multidimensional scaling (ordination) and cluster analysis packages. Although there exist a few resemblance functions that allow missing scores, there is no theoretical background and software suppor...

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Bibliographic Details
Main Authors: Podani, J. (Author), Schmera, D. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Online Access:View Fulltext in Publisher