Publication | Closed Access
A Method of Selection of Characters in Numerical Taxonomy
248
Citations
2
References
1969
Year
GeneticsCorpus LinguisticsUniquely Derived CharacterCombinatorics On WordString-searching AlgorithmPhylogeneticsMolecular EcologyData MiningBiogeographyString ProcessingComputational LinguisticsCharacter-state RandomnessPhylogeny ComparisonKnowledge DiscoveryMorphologyGenetic VariationPhylogenomicsNumerical TaxonomyPopulation GeneticsBiologyNatural SciencesEvolutionary BiologyData MatrixPhylogenetic MethodMedicine
A method of selecting from a data matrix the characters most likely to lead to valid phylogenetic conclusions is put forward, based on the concept of a uniquely derived character and its logical consequences. A coefficient of character-state randomness is defined which gives a measure of how far the distribution of character-states is random between the different characters. These principles are illustrated by application to published data on the seven species of Argodrepana.
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