plot.deepMOU {deepMOU} | R Documentation |
Bi-dimensional representation (via Multi-Dimensional Scaling) of the clusters, where each bubble corresponds to a cluster, its size is proportional to the relative frequency of documents and color saturation reflects cluster cohesion.
## S3 method for class 'deepMOU'
plot(
x,
y,
bubble_size = 1,
bubble_col = c("red", "white"),
cex_text = 1,
main = NULL,
...
)
x |
Output from |
y |
Parameter not used |
bubble_size |
Graphical parameter for bubbles size. |
bubble_col |
Choose palette with two colors (default |
cex_text |
Size of texts inside bubbles. |
main |
A main title for the plot. |
... |
Parameter not used |
The default graphical representation of mou_EM
, dir_mult_GD
and deep_mou_gibbs
is the bubble plot.
Namely, a bi-dimensional representation (via Multi-Dimensional Scaling) of the clusters, each bubble corresponds to a cluster,
its size is proportional to the relative frequency of documents and color saturation reflects cluster cohesion.
A graphical aid to visualize and to describe the obtained clusters.
# Load the CNAE2 dataset
data("CNAE2")
# Perform parameter estimation and clustering
mou_CNAE2 = mou_EM(x = CNAE2, k = 2)
# Usage of the function
plot(mou_CNAE2, bubble_size = 5 )