word2vec Skip-Gram with Negative Sampling is a Weighted Logistic PCA

no code implementations • 27 May 2017 • Andrew J. Landgraf, Jeremy Bellay

We show that the skip-gram formulation of word2vec trained with negative sampling is equivalent to a weighted logistic PCA.

Dimensionality Reduction for Binary Data through the Projection of Natural Parameters

1 code implementation • 21 Oct 2015 • Andrew J. Landgraf, Yoonkyung Lee

We propose a new formulation of logistic PCA which extends Pearson's formulation of a low dimensional data representation with minimum error to binary data.

Dimensionality Reduction