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Numerical taxonomy is a type of classification based on the analysis of various types of taxonomic data (numerical comparison) of equally weighted charters by mathematically or computerized methods and in which individuals are grouped solely on the basis of observable similarities.
• Concept was proposed by Adanson and later in 1963 Seath and Sokal published a book “principles of numerical taxonomy” and attracted scientific community towards numerical taxonomy.
• Basic unit is OTUs
Principles
i. The more characters the better a given classification will be.
ii. Every characters should be given equal weightage (equal weighting)
iii. Classification is based on phenetic similarity.

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