init_centers: Chooses initial cluster locations using Kmeans++
In UBC-MDS/kmeaningfulR: Performs Kmeans Clustering
Description
Usage
Arguments
Value
Examples
Description
Chooses initial cluster locations using Kmeans++
Usage
1
init_centers(X, k)
Arguments
X
array Data points of dimension (n,d)
k
int The number of desired clusters
Value
array Initial coordinates of clusters
Examples
1
2
X = rbind(c(0,0), c(1,1))
init_centers(X, 2)
UBC-MDS/kmeaningfulR documentation built on March 29, 2021, 7:55 a.m.
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Description Usage Arguments Value Examples
Description
Chooses initial cluster locations using Kmeans++
Usage
1 | init_centers(X, k)
|
Arguments
X |
array Data points of dimension (n,d) |
k |
int The number of desired clusters |
Value
array Initial coordinates of clusters
Examples
1 2 | X = rbind(c(0,0), c(1,1))
init_centers(X, 2)
|
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.
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