crossprod

tcrossprod

Compute the (transposed) cross-product of large sparse matrices using the same
infrastructure as <code>simil()</code> and <code><a href="/link/dist()?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::dist()">dist()</a></code>.

Computes proximity between rows or columns of large matrices efficiently in C++.
Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries.
Among various built-in similarity/distance measures, computation of correlation,
cosine similarity, Dice coefficient and Euclidean distance is particularly fast.

Kohei Watanabe

proxyC

Computes Proximity in Large Sparse Matrices

Robrecht Cannoodt

crossprod function

<dl><dt>x</dt>
<dd>a <a href="/link/base%3A%3Amatrix?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::base::matrix">base::matrix</a> or <a href="/link/Matrix%3A%3AMatrix?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::Matrix::Matrix">Matrix::Matrix</a> object. Dense matrices are covered to
the <a href="/link/Matrix%3A%3ACsparseMatrix?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::Matrix::CsparseMatrix">Matrix::CsparseMatrix</a> internally.</dd>
<dt>y</dt>
<dd>if a <a href="/link/base%3A%3Amatrix?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::base::matrix">base::matrix</a> or <a href="/link/Matrix%3A%3AMatrix?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::Matrix::Matrix">Matrix::Matrix</a> object is provided, proximity
between documents or features in <code>x</code> and <code>y</code> is computed.</dd>
<dt>min_prod</dt>
<dd>the minimum product to be recorded.</dd>
<dt>digits</dt>
<dd>determines rounding of small values towards zero. Use primarily
to correct floating point errors. Rounding is performed in C++ in a similar
way as <a href="/link/base%3A%3Azapsmall?package=proxyC&version=0.5.0" data-mini-rdoc="proxyC::base::zapsmall">base::zapsmall</a>.</dd></dl>

Arguments

Compute the (transposed) cross-product of large sparse matrices using the same
infrastructure as <code>simil()</code> and <code><a href='https://rdrr.io/r/stats/dist.html'>dist()</a></code>.

Cross-product of large sparse matrices — crossprod

<dl>

<dt>x</dt>
<dd>a <a href='https://rdrr.io/r/base/matrix.html'>base::matrix</a> or <a href='https://rdrr.io/pkg/Matrix/man/Matrix.html'>Matrix::Matrix</a> object. Dense matrices are covered to
the <a href='https://rdrr.io/pkg/Matrix/man/CsparseMatrix-class.html'>Matrix::CsparseMatrix</a> internally.</dd>


<dt>y</dt>
<dd>if a <a href='https://rdrr.io/r/base/matrix.html'>base::matrix</a> or <a href='https://rdrr.io/pkg/Matrix/man/Matrix.html'>Matrix::Matrix</a> object is provided, proximity
between documents or features in <code>x</code> and <code>y</code> is computed.</dd>


<dt>min_prod</dt>
<dd>the minimum product to be recorded.</dd>


<dt>digits</dt>
<dd>determines rounding of small values towards zero. Use primarily
to correct floating point errors. Rounding is performed in C++ in a similar
way as <a href='https://rdrr.io/r/base/zapsmall.html'>base::zapsmall</a>.</dd>

</dl>

crossprod: Cross-product of large sparse matrices

Description

Usage

Arguments