kmeanspp: K-means++ algorithm.
In bwrc/corecluster-r: Core clustering of datasets.
Description
Usage
Arguments
Value
References
Description
K-means++ algorithm.
Usage
1
kmeanspp(x, k, iter.max = 1000, algorithm = "Lloyd")
Arguments
x
Data matrix with rows corresponding to data items.
k
Number of clusters.
algorithm
Clustering algorithm to use. Optional. Default is
Lloyd. See documentation for kmeans for details.
iter
The maximum number of iterations. Optional. Default is 1000.
Value
See documentation for kmeans for details.
References
Arthur & Vassilivitskii (2007) k-means++: the
advantages of careful seeding. In Proc SODA '07, 1027-1035.
bwrc/corecluster-r documentation built on May 13, 2019, 9:12 a.m.
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Description Usage Arguments Value References
Description
K-means++ algorithm.
Usage
1 | kmeanspp(x, k, iter.max = 1000, algorithm = "Lloyd")
|
Arguments
x |
Data matrix with rows corresponding to data items. |
k |
Number of clusters. |
algorithm |
Clustering algorithm to use. Optional. Default is
|
iter |
The maximum number of iterations. Optional. Default is 1000. |
Value
See documentation for kmeans for details.
References
Arthur & Vassilivitskii (2007) k-means++: the advantages of careful seeding. In Proc SODA '07, 1027-1035.
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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