iris.res:
In SaraTouzani/EM: Algorithme EM ("Espérance-Maximisation")
Usage
1
data("iris.res")
Format
The format is:
Formal class 'MixmodCluster' [package "Rmixmod"] with 19 slots
..@ strategy :Formal class 'Strategy' [package "Rmixmod"] with 11 slots
.. .. ..@ algo : chr "EM"
.. .. ..@ nbTry : num 1
.. .. ..@ initMethod : chr "smallEM"
.. .. ..@ nbTryInInit : num 10
.. .. ..@ nbIterationInInit: num 5
.. .. ..@ nbIterationInAlgo: num 200
.. .. ..@ epsilonInInit : num 0.001
.. .. ..@ epsilonInAlgo : num 0.001
.. .. ..@ seed : num -1
.. .. ..@ parameter :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots
.. .. .. .. ..@ mean : logi[0 , 0 ]
.. .. .. .. ..@ variance :List of 1
.. .. .. .. .. ..$ : num 0
.. .. .. .. ..@ proportions: num(0)
.. .. .. .. ..@ nbFreeParam: num(0)
.. .. ..@ labels : num(0)
..@ bestResult :Formal class 'MixmodResults' [package "Rmixmod"] with 9 slots
.. .. ..@ nbCluster : int 3
.. .. ..@ model : chr "Gaussian_pk_Lk_C"
.. .. ..@ criterion : chr "BIC"
.. .. ..@ criterionValue: num 605
.. .. ..@ parameters :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots
.. .. .. .. ..@ mean : num [1:3, 1:4] 5.93 6.55 5.01 2.76 2.97 ...
.. .. .. .. ..@ variance :List of 3
.. .. .. .. .. ..$ : num [1:4, 1:4] 0.2152 0.0889 0.1233 0.0331 0.0889 ...
.. .. .. .. .. ..$ : num [1:4, 1:4] 0.4058 0.1675 0.2324 0.0624 0.1675 ...
.. .. .. .. .. ..$ : num [1:4, 1:4] 0.155 0.064 0.0888 0.0238 0.064 ...
.. .. .. .. ..@ proportions: num [1:3] 0.313 0.354 0.333
.. .. .. .. ..@ nbFreeParam: num 26
.. .. ..@ likelihood : num -238
.. .. ..@ partition : num [1:150] 3 3 3 3 3 3 3 3 3 3 ...
.. .. ..@ proba : num [1:150, 1:3] 1.10e-24 1.22e-20 1.99e-22 3.52e-19 5.83e-25 ...
.. .. ..@ error : chr "No error"
..@ data : num [1:150, 1:4] 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : NULL
.. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width"
..@ dataType : chr "quantitative"
..@ factor : num(0)
..@ nbCluster : num 3
..@ knownLabels: int(0)
..@ weight : num(0)
..@ nbVariable : int 4
..@ nbSample : int 150
..@ criterion : chr "BIC"
..@ models :Formal class 'GaussianModel' [package "Rmixmod"] with 4 slots
.. .. ..@ family : chr "general"
.. .. ..@ listModels : chr "Gaussian_pk_Lk_C"
.. .. ..@ free.proportions : logi TRUE
.. .. ..@ equal.proportions: logi FALSE
..@ error : logi FALSE
..@ results :List of 1
.. ..$ :Formal class 'MixmodResults' [package "Rmixmod"] with 9 slots
.. .. .. ..@ nbCluster : int 3
.. .. .. ..@ model : chr "Gaussian_pk_Lk_C"
.. .. .. ..@ criterion : chr "BIC"
.. .. .. ..@ criterionValue: num 605
.. .. .. ..@ parameters :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots
.. .. .. .. .. ..@ mean : num [1:3, 1:4] 5.93 6.55 5.01 2.76 2.97 ...
.. .. .. .. .. ..@ variance :List of 3
.. .. .. .. .. .. ..$ : num [1:4, 1:4] 0.2152 0.0889 0.1233 0.0331 0.0889 ...
.. .. .. .. .. .. ..$ : num [1:4, 1:4] 0.4058 0.1675 0.2324 0.0624 0.1675 ...
.. .. .. .. .. .. ..$ : num [1:4, 1:4] 0.155 0.064 0.0888 0.0238 0.064 ...
.. .. .. .. .. ..@ proportions: num [1:3] 0.313 0.354 0.333
.. .. .. .. .. ..@ nbFreeParam: num 26
.. .. .. ..@ likelihood : num -238
.. .. .. ..@ partition : num [1:150] 3 3 3 3 3 3 3 3 3 3 ...
.. .. .. ..@ proba : num [1:150, 1:3] 1.10e-24 1.22e-20 1.99e-22 3.52e-19 5.83e-25 ...
.. .. .. ..@ error : chr "No error"
..@ xmlIn :Formal class 'MixmodXmlInput' [package "Rmixmod"] with 6 slots
.. .. ..@ file : chr(0)
.. .. ..@ numFormat : chr "humanReadable"
.. .. ..@ conversionOnly : logi FALSE
.. .. ..@ gaussianModel :Formal class 'S4' [package ""] with 0 slots
list()
.. .. ..@ multinomialModel:Formal class 'S4' [package ""] with 0 slots
list()
.. .. ..@ compositeModel :Formal class 'S4' [package ""] with 0 slots
list()
..@ xmlOut : chr ""
..@ seed : num -1
..@ trace : num 0
..@ massiccc : num 0
Examples
1
2
SaraTouzani/EM documentation built on Dec. 16, 2019, 12:31 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Usage
1 | data("iris.res")
|
Format
The format is: Formal class 'MixmodCluster' [package "Rmixmod"] with 19 slots ..@ strategy :Formal class 'Strategy' [package "Rmixmod"] with 11 slots .. .. ..@ algo : chr "EM" .. .. ..@ nbTry : num 1 .. .. ..@ initMethod : chr "smallEM" .. .. ..@ nbTryInInit : num 10 .. .. ..@ nbIterationInInit: num 5 .. .. ..@ nbIterationInAlgo: num 200 .. .. ..@ epsilonInInit : num 0.001 .. .. ..@ epsilonInAlgo : num 0.001 .. .. ..@ seed : num -1 .. .. ..@ parameter :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots .. .. .. .. ..@ mean : logi[0 , 0 ] .. .. .. .. ..@ variance :List of 1 .. .. .. .. .. ..$ : num 0 .. .. .. .. ..@ proportions: num(0) .. .. .. .. ..@ nbFreeParam: num(0) .. .. ..@ labels : num(0) ..@ bestResult :Formal class 'MixmodResults' [package "Rmixmod"] with 9 slots .. .. ..@ nbCluster : int 3 .. .. ..@ model : chr "Gaussian_pk_Lk_C" .. .. ..@ criterion : chr "BIC" .. .. ..@ criterionValue: num 605 .. .. ..@ parameters :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots .. .. .. .. ..@ mean : num [1:3, 1:4] 5.93 6.55 5.01 2.76 2.97 ... .. .. .. .. ..@ variance :List of 3 .. .. .. .. .. ..$ : num [1:4, 1:4] 0.2152 0.0889 0.1233 0.0331 0.0889 ... .. .. .. .. .. ..$ : num [1:4, 1:4] 0.4058 0.1675 0.2324 0.0624 0.1675 ... .. .. .. .. .. ..$ : num [1:4, 1:4] 0.155 0.064 0.0888 0.0238 0.064 ... .. .. .. .. ..@ proportions: num [1:3] 0.313 0.354 0.333 .. .. .. .. ..@ nbFreeParam: num 26 .. .. ..@ likelihood : num -238 .. .. ..@ partition : num [1:150] 3 3 3 3 3 3 3 3 3 3 ... .. .. ..@ proba : num [1:150, 1:3] 1.10e-24 1.22e-20 1.99e-22 3.52e-19 5.83e-25 ... .. .. ..@ error : chr "No error" ..@ data : num [1:150, 1:4] 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : NULL .. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" ..@ dataType : chr "quantitative" ..@ factor : num(0) ..@ nbCluster : num 3 ..@ knownLabels: int(0) ..@ weight : num(0) ..@ nbVariable : int 4 ..@ nbSample : int 150 ..@ criterion : chr "BIC" ..@ models :Formal class 'GaussianModel' [package "Rmixmod"] with 4 slots .. .. ..@ family : chr "general" .. .. ..@ listModels : chr "Gaussian_pk_Lk_C" .. .. ..@ free.proportions : logi TRUE .. .. ..@ equal.proportions: logi FALSE ..@ error : logi FALSE ..@ results :List of 1 .. ..$ :Formal class 'MixmodResults' [package "Rmixmod"] with 9 slots .. .. .. ..@ nbCluster : int 3 .. .. .. ..@ model : chr "Gaussian_pk_Lk_C" .. .. .. ..@ criterion : chr "BIC" .. .. .. ..@ criterionValue: num 605 .. .. .. ..@ parameters :Formal class 'GaussianParameter' [package "Rmixmod"] with 4 slots .. .. .. .. .. ..@ mean : num [1:3, 1:4] 5.93 6.55 5.01 2.76 2.97 ... .. .. .. .. .. ..@ variance :List of 3 .. .. .. .. .. .. ..$ : num [1:4, 1:4] 0.2152 0.0889 0.1233 0.0331 0.0889 ... .. .. .. .. .. .. ..$ : num [1:4, 1:4] 0.4058 0.1675 0.2324 0.0624 0.1675 ... .. .. .. .. .. .. ..$ : num [1:4, 1:4] 0.155 0.064 0.0888 0.0238 0.064 ... .. .. .. .. .. ..@ proportions: num [1:3] 0.313 0.354 0.333 .. .. .. .. .. ..@ nbFreeParam: num 26 .. .. .. ..@ likelihood : num -238 .. .. .. ..@ partition : num [1:150] 3 3 3 3 3 3 3 3 3 3 ... .. .. .. ..@ proba : num [1:150, 1:3] 1.10e-24 1.22e-20 1.99e-22 3.52e-19 5.83e-25 ... .. .. .. ..@ error : chr "No error" ..@ xmlIn :Formal class 'MixmodXmlInput' [package "Rmixmod"] with 6 slots .. .. ..@ file : chr(0) .. .. ..@ numFormat : chr "humanReadable" .. .. ..@ conversionOnly : logi FALSE .. .. ..@ gaussianModel :Formal class 'S4' [package ""] with 0 slots list() .. .. ..@ multinomialModel:Formal class 'S4' [package ""] with 0 slots list() .. .. ..@ compositeModel :Formal class 'S4' [package ""] with 0 slots list() ..@ xmlOut : chr "" ..@ seed : num -1 ..@ trace : num 0 ..@ massiccc : num 0
Examples
1 2 |
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