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Canonical correspondence analysis information


In multivariate analysis, canonical correspondence analysis (CCA) is an ordination technique that determines axes from the response data as a linear combination of measured predictors. CCA is commonly used in ecology in order to extract gradients that drive the composition of ecological communities. CCA extends Correspondence Analysis (CA) with regression, in order to incorporate predictor variables.

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Canonical correspondence analysis

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In multivariate analysis, canonical correspondence analysis (CCA) is an ordination technique that determines axes from the response data as a linear combination...

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Correspondence analysis

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Correspondence analysis (CA) is a multivariate statistical technique proposed by Herman Otto Hartley (Hirschfeld) and later developed by Jean-Paul Benzécri...

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Principal component analysis

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including detrended correspondence analysis and canonical correspondence analysis. One special extension is multiple correspondence analysis, which may be seen...

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Detrended correspondence analysis

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Detrended correspondence analysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large...

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CCA

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(disambiguation) Canonical correlation analysis, a way of inferring information from cross-covariance matrices Canonical correspondence analysis, a variation...

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Outline of machine learning

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clustering algorithm Cache language model Calibration (statistics) Canonical correspondence analysis Canopy clustering algorithm Cascading classifiers Category...

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Canonical form

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In mathematics and computer science, a canonical, normal, or standard form of a mathematical object is a standard way of presenting that object as a mathematical...

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Canonical commutation relation

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In quantum mechanics, the canonical commutation relation is the fundamental relation between canonical conjugate quantities (quantities which are related...

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Multivariate statistics

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Canonical (or "constrained") correspondence analysis (CCA) for summarising the joint variation in two sets of variables (like redundancy analysis);...

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Biplot

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forms of correspondence analysis: simple correspondence analysis (CA), multiple correspondence analysis (MCA) and canonical correspondence analysis (CCA)...

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Linear discriminant analysis

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technique is discriminant correspondence analysis. Discriminant analysis is used when groups are known a priori (unlike in cluster analysis). Each case must have...

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Canonical ensemble

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In statistical mechanics, a canonical ensemble is the statistical ensemble that represents the possible states of a mechanical system in thermal equilibrium...

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Landscape ecology

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analysis, canonical correspondence analysis (CCA), or detrended correspondence analysis (DCA), for classifying vegetation. Gradient analysis is another...

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Biblical canon

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deuterocanonical by many, while some denominations may consider them fully canonical. Differences exist between the Hebrew Bible and Christian biblical canons...

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Mount Otzi Central Forest Reserve

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farm lands, fallow, and felling by cutting, according to Canonical Correspondence Analysis (CCA). Environmental pressures have impacted the diversity...

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Linear canonical transformation

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In Hamiltonian mechanics, the linear canonical transformation (LCT) is a family of integral transforms that generalizes many classical transforms. It...

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Grand canonical ensemble

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In statistical mechanics, the grand canonical ensemble (also known as the macrocanonical ensemble) is the statistical ensemble that is used to represent...

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Bijection

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A bijection, bijective function, or one-to-one correspondence between two mathematical sets is a function such that each element of the second set (the...

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List of analyses of categorical data

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Cochran–Armitage test for trend Cochran–Mantel–Haenszel statistics Correspondence analysis Cronbach's alpha Diagnostic odds ratio G-test Generalized estimating...

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Equivalence class

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maps each element to its equivalence class, is called the canonical surjection, or the canonical projection. Every element of an equivalence class characterizes...

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Topological data analysis

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In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information...

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Hamiltonian mechanics

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are called momenta. (Also generalized momenta, conjugate momenta, and canonical momenta). For a time instant t , {\displaystyle t,} the Legendre transformation...

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Saul Kripke

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counterexample in the canonical model. The main application of canonical models are completeness proofs. Properties of the canonical model of K immediately...

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Foundations of Economic Analysis

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system. One of its key insights about comparative statics, called the correspondence principle, states that stability of equilibrium implies testable predictions...

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