fit_assign: Finds k clusters in data points and assigns each point to a...
In UBC-MDS/kmeaningfulR: Performs Kmeans Clustering
Description
Usage
Arguments
Value
Examples
Description
Finds k clusters in data points and assigns each point to a cluster.
Usage
1
fit_assign(X, k)
Arguments
X
array: Data points of dimension (n,d)
k
int: The number of desired clusters
Value
list: array of cluster centers dimension(n,d), array of cluster labels dimension (n,1)
Examples
1
2
X = rbind(c(0,0), c(1,1))
km <- fit_assign(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
Finds k clusters in data points and assigns each point to a cluster.
Usage
1 | fit_assign(X, k)
|
Arguments
X |
array: Data points of dimension (n,d) |
k |
int: The number of desired clusters |
Value
list: array of cluster centers dimension(n,d), array of cluster labels dimension (n,1)
Examples
1 2 | X = rbind(c(0,0), c(1,1))
km <- fit_assign(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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