distance_matrix {ClusterR}

Distance matrix calculation

Description

Distance matrix calculation

Usage

distance_matrix(
  data,
  method = "euclidean",
  upper = FALSE,
  diagonal = FALSE,
  minkowski_p = 1,
  threads = 1
)

Arguments

data

matrix or data frame

method

a string specifying the distance method. One of, euclidean, manhattan, chebyshev, canberra, braycurtis, pearson_correlation, simple_matching_coefficient, minkowski, hamming, jaccard_coefficient, Rao_coefficient, mahalanobis, cosine

upper

either TRUE or FALSE specifying if the upper triangle of the distance matrix should be returned. If FALSE then the upper triangle will be filled with NA's

diagonal

either TRUE or FALSE specifying if the diagonal of the distance matrix should be returned. If FALSE then the diagonal will be filled with NA's

minkowski_p

a numeric value specifying the minkowski parameter in case that method = "minkowski"

threads

the number of cores to run in parallel (if OpenMP is available)

Value

a matrix

Examples

data(dietary_survey_IBS)

dat = dietary_survey_IBS[, -ncol(dietary_survey_IBS)]

dat = distance_matrix(dat, method = 'euclidean', upper = TRUE, diagonal = TRUE)