applyKMeans2D: applyKMeans2D
In SOLV-Code/SPATFunctions-Package: Functions for the Salmon Pattern Analysis Tool
Description
Usage
Arguments
Examples
View source: R/SUB_2D_applyKMeans2D.R
Description
Subroutine for applying k-means clustering based on to 2 variables. This is simply a wrapper
for the kmeans() function from the stats package.
Usage
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applyKMeans2D(
x,
centers = 3,
iter.max = 100,
nstart = 5,
algorithm = "Hartigan-Wong"
)
Arguments
x
data frame with 2 numeric columns.
centers
number of clusters
algorithm
one of "Hartigan-Wong", "Lloyd", "Forgy", "MacQueen"
Examples
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test.clusters <- applyKMeans2D(SPATData_Samples[,c("SampleSW","LengthMEF")])
names(test.clusters)
test.clusters$centers
test.clusters$size
test.clusters$na.num
SOLV-Code/SPATFunctions-Package documentation built on April 25, 2020, 12:59 a.m.
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Description Usage Arguments Examples
View source: R/SUB_2D_applyKMeans2D.R
Description
Subroutine for applying k-means clustering based on to 2 variables. This is simply a wrapper for the kmeans() function from the stats package.
Usage
1 2 3 4 5 6 7 | applyKMeans2D(
x,
centers = 3,
iter.max = 100,
nstart = 5,
algorithm = "Hartigan-Wong"
)
|
Arguments
x |
data frame with 2 numeric columns. |
centers |
number of clusters |
algorithm |
one of "Hartigan-Wong", "Lloyd", "Forgy", "MacQueen" |
Examples
1 2 3 4 5 | test.clusters <- applyKMeans2D(SPATData_Samples[,c("SampleSW","LengthMEF")])
names(test.clusters)
test.clusters$centers
test.clusters$size
test.clusters$na.num
|
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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