Numerical taxonomy – The principles and practice of numerical classification¶
Sneath, P. H. A., & Sokal, R. R. (1973). Numerical taxonomy – The principles and practice of numerical classification: The Principles and Practice of Numerical Classification.
Cited by¶
2 citations across 2 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Clustering
- Biology and taxonomy: cladistics and numerical taxonomy cluster trait or sequence data to propose species and higher ranks, and gene-expression clustering identifies functionally related modules; the historical move from essentialist to phylogenetic systematics is clustering's victory over fixed-label taxonomy.
This sourceFoundational treatment of clustering trait/sequence data to propose taxonomic groups, the move from essentialist to phenetic/phylogenetic systematics.
- Biology and taxonomy: cladistics and numerical taxonomy cluster trait or sequence data to propose species and higher ranks, and gene-expression clustering identifies functionally related modules; the historical move from essentialist to phylogenetic systematics is clustering's victory over fixed-label taxonomy.
Domain-specific¶
- Phenetics
- … coding and missing-data rules, character weights, similarity or distance coefficient, clustering or ordination algorithm, resulting phenogram and distinction from phylogenetic ancestry are explicit. to An applied instance preserves the invariant under changed notation, scale, dataset, jurisdiction, or implementation..
This sourceW. H. Freeman, San Francisco. xv + 573 p.
- … coding and missing-data rules, character weights, similarity or distance coefficient, clustering or ordination algorithm, resulting phenogram and distinction from phylogenetic ancestry are explicit. to An applied instance preserves the invariant under changed notation, scale, dataset, jurisdiction, or implementation..
Verification¶
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