KMeansClusteringAlgorithm: KMeans
In DrugClust: Implementation of a Machine Learning Framework for Predicting Drugs Side Effects
Description
Usage
Arguments
Value
Examples
Description
KMeans clustering algorithm
Usage
1
KMeans(train, num_clusters)
Arguments
train
matrix of train features
num_clusters
number of clusters desired
Value
cl list containing the clusters ownerships
Examples
1
2
3
4
#use the initFeatures to upload train feature matrix
#see also KSeedsClusters function to see a similar example
#with a toy matrix
#cl<-KMeans(train,num_clusters)
DrugClust documentation built on May 2, 2019, 11:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
Description
KMeans clustering algorithm
Usage
1 | KMeans(train, num_clusters)
|
Arguments
train |
matrix of train features |
num_clusters |
number of clusters desired |
Value
cl list containing the clusters ownerships
Examples
1 2 3 4 | #use the initFeatures to upload train feature matrix
#see also KSeedsClusters function to see a similar example
#with a toy matrix
#cl<-KMeans(train,num_clusters)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.