deepMOU (version 0.1.1)

plot.deepMOU: Plotting method for "shallow" and deep mixtures of Unigrams and mixtures of Dirichlet-Multinomials

Description

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.

Usage

# S3 method for deepMOU
plot(
  x,
  y,
  bubble_size = 1,
  bubble_col = c("red", "white"),
  cex_text = 1,
  main = NULL,
  ...
)

Arguments

x

Output from mou_EM, dir_mult_GD or deep_mou_gibbs.

y

Parameter not used

bubble_size

Graphical parameter for bubbles size.

bubble_col

Choose palette with two colors (default "red" and "white"). The first (darker) color will denote homogeneous clusters, while the latter (lighter) more heterogeneous ones.

cex_text

Size of texts inside bubbles.

main

A main title for the plot.

...

Parameter not used

Value

A graphical aid to visualize and to describe the obtained clusters.

Details

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.

Examples

# NOT RUN {
# 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 )

# }