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Taxonomy vs Covariance - What's the difference?

taxonomy | covariance |

As nouns the difference between taxonomy and covariance

is that taxonomy is the science or the technique used to make a classification while covariance is a statistical measure defined as \scriptstyle\operatorname{Cov}(X, Y) = \operatorname{E}((X - \mu) (Y - \nu)) given two real-valued random variables X and Y, with expected values \scriptstyle E(X)\,=\,\mu and \scriptstyle E(Y)\,=\,\nu.

taxonomy

English

(wikipedia taxonomy)

Noun

(taxonomies)
  • The science or the technique used to make a classification.
  • A classification; especially , a classification in a hierarchical system.
  • (taxonomy, uncountable) The science of finding, describing, classifying and naming organisms.

    • Synonyms

    * alpha taxonomy

    Derived terms

    * folk taxonomy * scientific taxonomy

    See also

    * classification * rank * taxon * domain * kingdom * subkingdom * superphylum * phylum * subphylum * class * subclass * infraclass * superorder * order * suborder * infraorder * parvorder * superfamily * family * subfamily * genus * species * subspecies * superregnum * regnum * subregnum * superphylum * phylum * subphylum * classis * subclassis * infraclassis * superordo * ordo * subordo * infraordo * taxon * superfamilia * familia * subfamilia * ontology

    covariance

    English

    (wikipedia covariance)

    Noun

    (en noun)
  • (statistics) A statistical measure defined as \scriptstyle\operatorname{Cov}(X, Y) = \operatorname{E}((X - \mu) (Y - \nu)) given two real-valued random variables X'' and ''Y , with expected values \scriptstyle E(X)\,=\,\mu and \scriptstyle E(Y)\,=\,\nu.
  • (computing, programming) The conversion of data types from wider to narrower in certain situations.

    • See also

    * contravariance

    Derived terms

    * covariance matrix