wtMCosSimilarity: Compute weighted cosine similarities for each pair of rows...
In vh-d/RPortfolioSimilarity: Tools for clustering portfolios based on cosine similarity

Compute weighted cosine similarities for each pair of rows from given matrix and given weights

1	wtMCosSimilarity(input_mat, weights)

`input_mat`	numeric input matrix
`weights`	numeric vector of weights

wtVCosSimilarity

Upper triangle matrix where {i, j} element is the cosine similarity of i-th and j-th row of the original matrix.

vh-d/RPortfolioSimilarity documentation built on Oct. 17, 2019, 3:11 a.m.

vh-d/RPortfolioSimilarity index

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description