partition_by_kmeans: Partition by kmeans
In simplifyEnrichment: Simplify Functional Enrichment Results
Description
Usage
Arguments
Details
Examples
View source: R/node_partition.R
Description
Partition by kmeans
Usage
1
partition_by_kmeans(mat, n_repeats = 10)
Arguments
mat
The similarity matrix.
n_repeats
Number of repeated runs of k-means.
Details
Since k-means clustering brings randomness, this function performs
k-means clustering several times and uses the final consensus partitioning.
This function is used to set to the partition_fun argument in binary_cut.
Examples
1
2
# There is no example
NULL
simplifyEnrichment documentation built on Nov. 8, 2020, 5:07 p.m.
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Description Usage Arguments Details Examples
View source: R/node_partition.R
Description
Partition by kmeans
Usage
1 | partition_by_kmeans(mat, n_repeats = 10)
|
Arguments
mat |
The similarity matrix. |
n_repeats |
Number of repeated runs of k-means. |
Details
Since k-means clustering brings randomness, this function performs k-means clustering several times and uses the final consensus partitioning.
This function is used to set to the partition_fun argument in binary_cut.
Examples
1 2 | # There is no example
NULL
|
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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