kmndirs: k-Mean-Directions Clustering
In kmndirs: k-Mean-Directions Algorithm
kmndirs R Documentation
k-Mean-Directions Clustering
Description
Perform the k-Mean-Directions Algorithm of Maitra
and Ramler (2010, JCGS).
Usage
kmndirs(x, k, nrandom = 1000L, maxiter = 10L)
Arguments
x
a numeric matrix of data to be clustered.
k
an integer giving the number of clusters.
nrandom
an integer giving the number of random initial
clusterings.
maxiter
an integer giving the maximal number of iterations.
References
R. Maitra and Ivan P. Ramler (2010),
A k-mean-directions Algorithm for Fast Clustering of Data on the
Sphere.
Journal of Computational and Graphical Statistics,
19/2, 377–396.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1198/jcgs.2009.08155")}.
kmndirs documentation built on Sept. 3, 2024, 3:01 a.m.
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| kmndirs | R Documentation |
k-Mean-Directions Clustering
Description
Perform the k-Mean-Directions Algorithm of Maitra and Ramler (2010, JCGS).
Usage
kmndirs(x, k, nrandom = 1000L, maxiter = 10L)
Arguments
x |
a numeric matrix of data to be clustered. |
k |
an integer giving the number of clusters. |
nrandom |
an integer giving the number of random initial clusterings. |
maxiter |
an integer giving the maximal number of iterations. |
References
R. Maitra and Ivan P. Ramler (2010), A k-mean-directions Algorithm for Fast Clustering of Data on the Sphere. Journal of Computational and Graphical Statistics, 19/2, 377–396. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1198/jcgs.2009.08155")}.
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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