speCluster: speCluster
In jsta/speCluster: Spectral Clustering in R
Description
Usage
Arguments
Value
Description
Perform Spectral Clustering on a data matrix
Usage
1
2
speCluster(data, conMatrix, cluster.number, iter.max = 400,
repetition = 400)
Arguments
data
A numeric data frame or matrix where columns represent variables and rows represent locations
conMatrix
Contiguity matrix.
cluster.number
The number of clusters.
iter.max
The maximum number of iterations allowed for kmeans step.
repetition
How many random sets should be chosen for as the initial centers in kmeans step.
Value
A list contains two parts:
clusters: A vector of integers(from 1:cluster.number)
indicating the cluster to which each point is allocated.
SS: A list with two values SSW for Sum Squered Within and
SSB for SumSquered Between
jsta/speCluster documentation built on Aug. 6, 2021, 3:23 p.m.
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Description Usage Arguments Value
Description
Perform Spectral Clustering on a data matrix
Usage
1 2 | speCluster(data, conMatrix, cluster.number, iter.max = 400,
repetition = 400)
|
Arguments
data |
A numeric data frame or matrix where columns represent variables and rows represent locations |
conMatrix |
Contiguity matrix. |
cluster.number |
The number of clusters. |
iter.max |
The maximum number of iterations allowed for kmeans step. |
repetition |
How many random sets should be chosen for as the initial centers in kmeans step. |
Value
A list contains two parts: clusters: A vector of integers(from 1:cluster.number) indicating the cluster to which each point is allocated. SS: A list with two values SSW for Sum Squered Within and SSB for SumSquered Between
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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