unsupervised_clustering,omics_array,numeric,numeric-method {Patterns} | R Documentation |
Cluster a omics_array object: performs the clustering.
Description
Based on soft clustering performed by the Mfuzz package.
Usage
## S4 method for signature 'omics_array,numeric,numeric'
unsupervised_clustering(
M1,
clust,
mestim,
M2 = NULL,
data_log = TRUE,
screen = NULL,
heatmap = TRUE,
new.window = TRUE
)
Arguments
M1 |
Object of omics_array class. |
clust |
Number of clusters. |
mestim |
Fuzzification parameter. |
M2 |
[NULL] Object of omics_array class, |
data_log |
[TRUE] Should data be logged? |
screen |
[NULL] Specify 'mfrow' parameter. |
heatmap |
[TRUE] Plot heatmaps? |
new.window |
[TRUE] Use new window? |
Value
An object of class omics_array with the group slot updated by groups deduced from the soft clustering result.
Author(s)
Bertrand Frederic, Myriam Maumy-Bertrand.
Examples
if(require(CascadeData)){
data(micro_S, package="CascadeData")
M<-as.omics_array(micro_S[51:100,],1:4,6)
mc<-unsupervised_clustering_auto_m_c(M)
MwithGrp=unsupervised_clustering(M, 4, mc$m, screen=NULL, heatmap=FALSE, new.window = FALSE)
# Other options
unsupervised_clustering(M, 4, mc$m, screen=c(2,2), heatmap=TRUE, new.window = FALSE)
# Plot the clusters
plot(MwithGrp)
}
[Package Patterns version 1.5 Index]