lsa cosine R

lsa cosine R

cosine {lsa} R Documentation
Cosine Measure (Matrices)

Description
Calculates the cosine measure between two vectors or between all column vectors of a matrix.

Usage

cosine(x, y = NULL)

Arguments x A vector or a matrix (e.g., a document-term matrix). y Optional: a vector with compatible dimensions to x . If `NULL', all column vectors of x are correlated.

Details
cosine() calculates a similarity matrix between all column vectors of a matrix x . This matrix might be a document-term matrix, so columns would be expected to be documents and rows to be terms.
When executed on two vectors x and y , cosine() calculates the cosine similarity between them.

Value
Returns a n*n similarity matrix of cosine values, comparing all n column vectors against each other. Executed on two vectors, their cosine similarity value is returned.

Note
The cosine measure is nearly identical with the pearson correlation coefficient (besides a constant factor) cor(method="pearson") . For an investigation on the differences in the context of textmining see (Leydesdorff, 2005).

Author(s)
Fridolin Wild fridolin.wild@wu-wien.ac.at

References
Leydesdorff, L. (2005) Similarity Measures, Author Cocitation Analysis,and Information Theory . In: JASIST 56(7), pp.769-772.

See Also
cor

Examples

## the cosinus measure between two vectors

vec1 = c( 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0 )
vec2 = c( 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 0 )
cosine(vec1,vec2) 

## the cosine measure for all document vectors of a matrix

vec3 = c( 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0 )
matrix = cbind(vec1,vec2, vec3)
cosine(matrix)

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更新时间：2022-09-24 阅读：41次

lsa cosine R

lsa cosine R cosine {lsa} R Documentation Cosine Measure (Matrices)

Description Calculates the cosine measure between two vectors or between all column vectors of a matrix.

Usage cosine(x, y = NULL)

Arguments x A vector or a matrix (e.g., a document-term matrix). y Optional: a vector with compatible dimensions to x . If `NULL', all column vectors of x are correlated.

Details cosine() calculates a similarity matrix between all column vectors of a matrix x . This matrix might be a document-term matrix, so columns would be expected to be documents and rows to be terms.When executed on two vectors x and y , cosine() calculates the cosine similarity between them.

Value Returns a n*n similarity matrix of cosine values, comparing all n column vectors against each other. Executed on two vectors, their cosine similarity value is returned.

Note The cosine measure is nearly identical with the pearson correlation coefficient (besides a constant factor) cor(method="pearson") . For an investigation on the differences in the context of textmining see (Leydesdorff, 2005).

Author(s) Fridolin Wild fridolin.wild@wu-wien.ac.at

References Leydesdorff, L. (2005) Similarity Measures, Author Cocitation Analysis,and Information Theory . In: JASIST 56(7), pp.769-772.

See Also cor

lsa cosine R

cosine {lsa} R Documentation
Cosine Measure (Matrices)

Description
Calculates the cosine measure between two vectors or between all column vectors of a matrix.

Usage
cosine(x, y = NULL)

Details
cosine() calculates a similarity matrix between all column vectors of a matrix x . This matrix might be a document-term matrix, so columns would be expected to be documents and rows to be terms.
When executed on two vectors x and y , cosine() calculates the cosine similarity between them.

Value
Returns a n*n similarity matrix of cosine values, comparing all n column vectors against each other. Executed on two vectors, their cosine similarity value is returned.

Note
The cosine measure is nearly identical with the pearson correlation coefficient (besides a constant factor) cor(method="pearson") . For an investigation on the differences in the context of textmining see (Leydesdorff, 2005).

Author(s)
Fridolin Wild fridolin.wild@wu-wien.ac.at

References
Leydesdorff, L. (2005) Similarity Measures, Author Cocitation Analysis,and Information Theory . In: JASIST 56(7), pp.769-772.

See Also
cor