dtmcorr

Pearson Correlation for Sparse Matrices.
More memory and time-efficient than <code>cor(as.matrix(x))</code>.

Contains the development of a tool that provides a web-based graphical
user interface (GUI) to perform Biplots representations from a scraping of
news from digital newspapers under the Bayesian approach of Latent Dirichlet
Assignment (LDA) and machine learning algorithms. Contains LDA methods
described by Blei , David M., Andrew Y. Ng and Michael I. Jordan (2003)
<https://jmlr.org/papers/volume3/blei03a/blei03a.pdf>,
and Biplot methods described by Gabriel K.R(1971) <doi:10.1093/biomet/58.3.453>
and Galindo-Villardon P(1986) <https://diarium.usal.es/pgalindo/files/2012/07/Questiio.pdf>.

Luis Pilacuan-Bonete

LDABiplots

Biplot Graphical Interface for LDA Models

Purificacion Galindo-Villardón

Javier De La Hoz Maestre

Francisco Javier Delgado-Álvarez

dtmcorr function

<dl><dt>x</dt>
<dd>A matrix, potentially a sparse matrix such as a "dgCMatrix" object</dd></dl>

Arguments

Pearson Correlation for Sparse Matrices — dtmcorr

<dl>

<dt>x</dt>
<dd>A matrix, potentially a sparse matrix such as a "dgCMatrix" object</dd>

</dl>

dtmcorr: Pearson Correlation for Sparse Matrices

Description

Usage

Value

Arguments