cosine_sim: Computes the cosine distance value between a bag of words and...
In jMotif/jmotif-R: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX
cosine_sim R Documentation
Computes the cosine distance value between a bag of words and a set of TF-IDF weight vectors.
Description
Computes the cosine distance value between a bag of words and a set of TF-IDF weight vectors.
Usage
cosine_sim(data)
Arguments
data
the list containing a word-bag and the TF-IDF object.
References
Senin Pavel and Malinchik Sergey,
SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model.
Data Mining (ICDM), 2013 IEEE 13th International Conference on, pp.1175,1180, 7-10 Dec. 2013.
Salton, G., Wong, A., Yang., C.,
A vector space model for automatic indexing. Commun. ACM 18, 11, 613-620, 1975.
jMotif/jmotif-R documentation built on Sept. 27, 2022, 4:31 p.m.
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| cosine_sim | R Documentation |
Computes the cosine distance value between a bag of words and a set of TF-IDF weight vectors.
Description
Computes the cosine distance value between a bag of words and a set of TF-IDF weight vectors.
Usage
cosine_sim(data)
Arguments
data |
the list containing a word-bag and the TF-IDF object. |
References
Senin Pavel and Malinchik Sergey, SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model. Data Mining (ICDM), 2013 IEEE 13th International Conference on, pp.1175,1180, 7-10 Dec. 2013.
Salton, G., Wong, A., Yang., C., A vector space model for automatic indexing. Commun. ACM 18, 11, 613-620, 1975.
R Package Documentation
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