Function to calculate the centroids of different groups (classes)

This function calculates the mean value for each feature of each class to calculate the prototypic centroids of the different groups

k_centroids(data, class)

Arguments

data	a scaled gene expression matrix or data.frame with samples as columns and features as rows
class	a vector with the samples classes

Value

returns a data.frame with the estimated prototypic centroids for each class with the features names as rownames

Examples

# load example dataset
require(iC10TrainingData)
require(pamr)

data(train.Exp)

calculate_distance <- select_distance(distancetype = "pearson")
#> Using CPU for computing pearson distance
Dist <- calculate_distance(train.Exp)
k <- 4
Pam <- cluster_algorithm(Dist, k)
table(Pam$cluster)
#> 
#>   1   2   3   4 
#> 252 161 332 252 
centroids <- k_centroids(train.Exp, Pam)