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dip-CovarianceMatrix-Eigenvalues.html
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<!DOCTYPE html>
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<title>dip::CovarianceMatrix::Eigenvalues struct | DIPlib | a library for quantitative image analysis</title>
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<span class="m-code m-thin">#include <a href="file--diplib--chain_code-h.html">"diplib/chain_code.h"</a></span> </div>
<span class="m-breadcrumb"><a href="dip.html">dip</a>::<wbr/></span><span class="m-breadcrumb"><a href="dip-CovarianceMatrix.html">CovarianceMatrix</a>::<wbr/></span>Eigenvalues <span class="m-thin">struct</span> </h1>
<p>Container for matrix eigenvalues.</p>
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<h3>Contents</h3>
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<li>
Reference
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<h2>Functions</h2>
<dl class="m-doc">
<dt id="dip-CovarianceMatrix-Eigenvalues-Eccentricity-C">
<span class="m-doc-wrap-bumper">auto <a href="#dip-CovarianceMatrix-Eigenvalues-Eccentricity-C" class="m-doc-self">Eccentricity</a>(</span><span class="m-doc-wrap">) const -> <a href="pixeltypes.html#dip-dfloat" class="m-doc">dip::dfloat</a></span>
</dt>
<dd>Computes eccentricity using the two eigenvalues of the covariance matrix.</dd>
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<h2>Variables</h2>
<dl class="m-doc">
<dt id="dip-CovarianceMatrix-Eigenvalues-largest">
<a href="pixeltypes.html#dip-dfloat" class="m-doc">dip::dfloat</a> <a href="#dip-CovarianceMatrix-Eigenvalues-largest" class="m-doc-self">largest</a>
</dt>
<dd>Largest eigenvalue</dd>
<dt id="dip-CovarianceMatrix-Eigenvalues-smallest">
<a href="pixeltypes.html#dip-dfloat" class="m-doc">dip::dfloat</a> <a href="#dip-CovarianceMatrix-Eigenvalues-smallest" class="m-doc-self">smallest</a>
</dt>
<dd>Smallest eigenvalue</dd>
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