jsPCA: Dimension reduction via Jensen-Shannon Divergence & Principal...
In LDAvis: Interactive Visualization of Topic Models
Description
Dimension reduction via Jensen-Shannon Divergence & Principal Components
Usage
1
jsPCA(phi)
Arguments
phi
matrix, with each row containing the distribution over terms
for a topic, with as many rows as there are topics in the model, and as
many columns as there are terms in the vocabulary.
LDAvis documentation built on May 2, 2019, 10:59 a.m.
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Description
Dimension reduction via Jensen-Shannon Divergence & Principal Components
Usage
1 | jsPCA(phi)
|
Arguments
phi |
matrix, with each row containing the distribution over terms for a topic, with as many rows as there are topics in the model, and as many columns as there are terms in the vocabulary. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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