construct_pca_embedding: Constructs PCA embedding based raw co-occurrence counts
In beamandrew/cui2vec: cui2vec Word Embeddings for Multimodal Data
Description
Usage
Arguments
Value
Description
Constructs PCA embedding based raw co-occurrence counts
Usage
1
2
construct_pca_embedding(coccur, dim_size = 100, iters = 25,
remove_empty = TRUE)
Arguments
coccur
The co-occurrence matrix
dim_size
The embedding dimension
iters
The number of iterations
remove_empty
Flag to remove vectors that are identically 0
Value
PCA embedding
beamandrew/cui2vec documentation built on Nov. 4, 2019, 7:07 a.m.
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Description Usage Arguments Value
Description
Constructs PCA embedding based raw co-occurrence counts
Usage
1 2 | construct_pca_embedding(coccur, dim_size = 100, iters = 25,
remove_empty = TRUE)
|
Arguments
coccur |
The co-occurrence matrix |
dim_size |
The embedding dimension |
iters |
The number of iterations |
remove_empty |
Flag to remove vectors that are identically 0 |
Value
PCA embedding
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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