calc_doc_cos: Computes cosine scores between documents in a corpus
In clintpgeorge/ldamcmc: Markov chain Monte Carlo Algorithms for the Latent Dirichlet Allocation Model
Description
Usage
Arguments
Details
Value
See Also
Description
Computes cosine scores between documents in a corpus
Usage
1
calc_doc_cos(docs)
Arguments
docs
corpus document matrix, a D \times M matrix where D is the
number of documents in the corpus and M is the number of features
Details
Last modified on: May 24, 2015
Value
sorted document index pairs in terms of pairwise cosine scores
(4 \times (D*D/2) matrix)
See Also
Other corpus: calc_doc_tf,
gen_corpus
clintpgeorge/ldamcmc documentation built on Feb. 22, 2020, 12:39 p.m.
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Description Usage Arguments Details Value See Also
Description
Computes cosine scores between documents in a corpus
Usage
1 | calc_doc_cos(docs)
|
Arguments
docs |
corpus document matrix, a D \times M matrix where D is the number of documents in the corpus and M is the number of features |
Details
Last modified on: May 24, 2015
Value
sorted document index pairs in terms of pairwise cosine scores (4 \times (D*D/2) matrix)
See Also
Other corpus: calc_doc_tf,
gen_corpus
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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