fviz_mclust: Plot Model-Based Clustering Results using ggplot2
In factoextra: Extract and Visualize the Results of Multivariate Data Analyses

Description Usage Arguments Functions Examples

Plots the classification, the uncertainty and the BIC values returned by the Mclust() function.

fviz_mclust(
  object,
  what = c("classification", "uncertainty", "BIC"),
  ellipse.type = "norm",
  ellipse.level = 0.4,
  ggtheme = theme_classic(),
  ...
)

fviz_mclust_bic(
  object,
  model.names = NULL,
  shape = 19,
  color = "model",
  palette = NULL,
  legend = NULL,
  main = "Model selection",
  xlab = "Number of components",
  ylab = "BIC",
  ...
)

`object`	an object of class Mclust
`what`	choose from one of the following three options: "classification" (default), "uncertainty" and "BIC".
`ellipse.type`	Character specifying frame type. Possible values are 'convex', 'confidence' or types supported by `stat_ellipse` including one of c("t", "norm", "euclid").
`ellipse.level`	the size of the concentration ellipse in normal probability. Passed for `ggplot2::stat_ellipse` 's level. Ignored in 'convex'. Default value is 0.95.
`ggtheme`	function, ggplot2 theme name. Default value is theme_pubr(). Allowed values include ggplot2 official themes: theme_gray(), theme_bw(), theme_minimal(), theme_classic(), theme_void(), ....
`...`	other arguments to be passed to the functions fviz_cluster and ggpar.
`model.names`	one or more model names corresponding to models fit in object. The default is to plot the BIC for all of the models fit.
`shape`	point shape. To change point shape by model names use shape = "model".
`color`	point and line color.
`palette`	the color palette to be used for coloring or filling by groups. Allowed values include "grey" for grey color palettes; brewer palettes e.g. "RdBu", "Blues", ...; or custom color palette e.g. c("blue", "red"); and scientific journal palettes from ggsci R package, e.g.: "npg", "aaas", "lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty". Can be also a numeric vector of length(groups); in this case a basic color palette is created using the function palette.
`legend`	character specifying legend position. Allowed values are one of c("top", "bottom", "left", "right", "none"). To remove the legend use legend = "none". Legend position can be also specified using a numeric vector c(x, y); see details section.
`main`	plot main title.
`xlab`	character vector specifying x axis labels. Use xlab = FALSE to hide xlab.
`ylab`	character vector specifying y axis labels. Use ylab = FALSE to hide ylab.

fviz_mclust: Plots classification and uncertainty.
fviz_mclust_bic: Plots the BIC values.

if(require("mclust")){

# Compute model-based-clustering 
require("mclust")
data("diabetes")
mc <- Mclust(diabetes[, -1])

# Visaulize BIC values
fviz_mclust_bic(mc)

# Visualize classification
fviz_mclust(mc, "classification", geom = "point")
}