calculate_distance {GSgalgoR} | R Documentation |
Functions to calculate distance matrices using cpu computing
calculate_distance_pearson_cpu(x) calculate_distance_spearman_cpu(x) calculate_distance_uncentered_cpu(x) calculate_distance_euclidean_cpu(x) select_distance(distancetype = "pearson")
x |
an expression matrix with features as rows and samples as columns |
distancetype |
a |
select_distance(distancetype)
assigns global function
calculate_distance according to the parameters specified
calculate_distance_pearson_cpu(x)
returns columnwise pearson
distance calculated using the CPU
calculate_distance_uncentered_cpu(x)
returns columnwise
uncentered pearson distance calculated using the CPU
calculate_distance_spearman_cpu(x)
returns columnwise
spearman distance calculated using the CPU
calculate_distance_euclidean_cpu(x)
returns columnwise
euclidean distance calculated using the CPU
Martin E Guerrero-Gimenez, mguerrero@mendoza-conicet.gob.ar
# load example dataset require(iC10TrainingData) require(pamr) data(train.Exp) calculate_distance <- select_distance(distancetype = "pearson") Dist <- calculate_distance(train.Exp) k <- 4 Pam <- cluster_algorithm(Dist, k) table(Pam$cluster)