Description Usage Arguments Value Examples
View source: R/cluster-classifier.R
This function calculates the mean value for each feature of each class to calculate the prototypic centroids of the different groups
| 1 | 
| data | a scaled gene expression  | 
| class | a vector with the samples classes | 
returns a data.frame with the estimated prototypic centroids 
for each class with the features names as rownames
| 1 2 3 4 5 6 7 8 9 10 11 12 | # 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)
centroids <- k_centroids(train.Exp, Pam)
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