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Numerical Taxonomy: The Principles and Practice of Numerical Classification by Peter H. A. Sneath

Numerical Taxonomy: The Principles and Practice of Numerical Classification Peter H. A. Sneath ebook
Format: djvu
Publisher: W H Freeman & Co (Sd)
Page: 296
ISBN: 0716706970, 9780716706977

151、, Thought and language, LS Vygotsky - Annals of Dyslexia, 1964 - Springer. Sneath PHA, Sokal RR (1973) Numerical taxonomy: the principles and practice of numerical classification. The principles and practice of numerical classification, P Keeton - 1984. San Francisco: W H Freeman; 1973:573. Numerical taxonomy: the principles and practice of numerical classification, A Series of books in biology. Emphasizing no particular mechanism of evolution, cladistics as a classification schema lies largely separate from much of the debate between those who favor natural selection and those who favor intelligent design. The publication of pioneer work of Sokal and Sneath (1963) “Principle of Numerical Taxonomy” was the first comprehensive Although intended as an objective classification method, in practice the choice and implicit weighing of characteristics is, of course, influenced by available data and research interests of the investigator. Numerical taxonomy — The principles and practice of numerical classification. An excellent definition of phenetics, which . The classification of Taxonomic units into various groups by numerical methods is called “Numerical Taxonomy”. In fact phenetics is nothing more than Numerical Taxonomy (Sneath & Sokal, 1973), a topic that we have discussed in a previous blog (Phenetic "Natural" Classifications). Phenetics attempts to classify organisms based on over-all similarity. Reconstructing the past: parsimony, evolution, and inference. Sokal RR, Rohlf FJ (1962) The comparison of dendrograms by objective methods. 116、, Thought and language, LS Vygotsky - Annals of Dyslexia, 1964 - Springer. Numerical Taxonomy: The Principles and Practice of Numerical Classification. Sneath PHA, Sokal RR: Numerical taxonomy: the principles and practice of numerical classification.