RandomSeedGenerator: RandomSeedGenerator

In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects

Description

Initizalize seeds for the KSeeds clustering algorithm

Usage

RandomSeedGenerator(num_clusters, numbrowfeatures)

Arguments

num_clusters	number of clusters desired
numbrowfeatures	number of rows of the features matrix

Value

s list of seeds

Examples

r <- 8
c <- 10
m0 <- matrix(0, r, c)
num_clusters=4
features<-apply(m0, c(1,2), function(x) sample(c(0,1),1))
s<-RandomSeedGenerator(4,nrow(features))

DrugClust documentation built on May 2, 2019, 11:06 a.m.