summary.Mclust: Summarizing Gaussian Finite Mixture Model Fits

Description Usage Arguments Author(s) See Also Examples

View source: R/mclust.R

Description

Summary method for class "Mclust".

Usage

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## S3 method for class 'Mclust'
summary(object, classification = TRUE, parameters = FALSE, ...)
## S3 method for class 'summary.Mclust'
print(x, digits = getOption("digits"), ...)

Arguments

object

An object of class 'Mclust' resulting of a call to Mclust or densityMclust.

x

An object of class 'summary.Mclust', usually, a result of a call to summary.Mclust.

classification

Logical; if TRUE a table of MAP classification/clustering of observations is printed.

parameters

Logical; if TRUE, the parameters of mixture components are printed.

digits

The number of significant digits to use when printing.

...

Further arguments passed to or from other methods.

Author(s)

Luca Scrucca

See Also

Mclust, densityMclust.

Examples

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mod1 = Mclust(iris[,1:4])
summary(mod1)
summary(mod1, parameters = TRUE, classification = FALSE)

mod2 = densityMclust(faithful)
summary(mod2)
summary(mod2, parameters = TRUE)

Example output

Package 'mclust' version 5.4.3
Type 'citation("mclust")' for citing this R package in publications.
---------------------------------------------------- 
Gaussian finite mixture model fitted by EM algorithm 
---------------------------------------------------- 

Mclust VEV (ellipsoidal, equal shape) model with 2 components: 

 log-likelihood   n df       BIC       ICL
       -215.726 150 26 -561.7285 -561.7289

Clustering table:
  1   2 
 50 100 
---------------------------------------------------- 
Gaussian finite mixture model fitted by EM algorithm 
---------------------------------------------------- 

Mclust VEV (ellipsoidal, equal shape) model with 2 components: 

 log-likelihood   n df       BIC       ICL
       -215.726 150 26 -561.7285 -561.7289

Clustering table:
  1   2 
 50 100 

Mixing probabilities:
        1         2 
0.3333319 0.6666681 

Means:
                  [,1]     [,2]
Sepal.Length 5.0060022 6.261996
Sepal.Width  3.4280049 2.871999
Petal.Length 1.4620007 4.905992
Petal.Width  0.2459998 1.675997

Variances:
[,,1]
             Sepal.Length Sepal.Width Petal.Length Petal.Width
Sepal.Length   0.15065114  0.13080115   0.02084463  0.01309107
Sepal.Width    0.13080115  0.17604529   0.01603245  0.01221458
Petal.Length   0.02084463  0.01603245   0.02808260  0.00601568
Petal.Width    0.01309107  0.01221458   0.00601568  0.01042365
[,,2]
             Sepal.Length Sepal.Width Petal.Length Petal.Width
Sepal.Length    0.4000438  0.10865444    0.3994018  0.14368256
Sepal.Width     0.1086544  0.10928077    0.1238904  0.07284384
Petal.Length    0.3994018  0.12389040    0.6109024  0.25738990
Petal.Width     0.1436826  0.07284384    0.2573899  0.16808182
------------------------------------------------------- 
Density estimation via Gaussian finite mixture modeling 
------------------------------------------------------- 

Mclust EEE (ellipsoidal, equal volume, shape and orientation) model with 3
components: 

 log-likelihood   n df       BIC       ICL
      -1126.326 272 11 -2314.316 -2357.824

Clustering table:
  1   2   3 
 40  97 135 
------------------------------------------------------- 
Density estimation via Gaussian finite mixture modeling 
------------------------------------------------------- 

Mclust EEE (ellipsoidal, equal volume, shape and orientation) model with 3
components: 

 log-likelihood   n df       BIC       ICL
      -1126.326 272 11 -2314.316 -2357.824

Clustering table:
  1   2   3 
 40  97 135 

Mixing probabilities:
        1         2         3 
0.1656784 0.3563696 0.4779520 

Means:
               [,1]      [,2]      [,3]
eruptions  3.793066  2.037596  4.463245
waiting   77.521051 54.491158 80.833439

Variances:
[,,1]
           eruptions    waiting
eruptions 0.07825448  0.4801979
waiting   0.48019785 33.7671464
[,,2]
           eruptions    waiting
eruptions 0.07825448  0.4801979
waiting   0.48019785 33.7671464
[,,3]
           eruptions    waiting
eruptions 0.07825448  0.4801979
waiting   0.48019785 33.7671464

mclust documentation built on Dec. 17, 2021, 5:19 p.m.