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In SaraTouzani/EM: Algorithme EM ("Espérance-Maximisation")

Usage

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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 2 .. .. ..@ model : chr "Binary_pk_Ekjh" .. .. ..@ criterion : chr "BIC" .. .. ..@ criterionValue: num 519 .. .. ..@ parameters :Formal class 'MultinomialParameter' [package "Rmixmod"] with 5 slots .. .. .. .. ..@ center : num [1:2, 1:5] 2 1 2 3 2 1 2 1 1 1 .. .. .. .. ..@ scatter :List of 2 .. .. .. .. .. ..$ : num [1:5, 1:5] 0.428 0.1203 0.0509 0.3641 0.1074 ... .. .. .. .. .. ..$ : num [1:5, 1:5] 0.4937 0.0761 0.1521 0.039 0.0577 ... .. .. .. .. ..@ factor : num [1:5] 2 4 5 5 3 .. .. .. .. ..@ proportions: num [1:2] 0.346 0.654 .. .. .. .. ..@ nbFreeParam: num 29 .. .. ..@ likelihood : num -198 .. .. ..@ partition : num [1:69] 1 1 2 2 2 2 2 1 1 1 ... .. .. ..@ proba : num [1:69, 1:2] 0.998001 0.998377 0.000245 0.019384 0.019384 ... .. .. ..@ error : chr "No error" ..@ data : int [1:69, 1:5] 1 2 2 1 1 1 2 2 2 2 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:69] "1" "2" "3" "4" ... .. .. ..$ : chr [1:5] "gender" "eyebrow" "collar" "sub-caudal" ... ..@ dataType : chr "qualitative" ..@ factor : Named int [1:5] 2 4 5 5 3 .. ..- attr(*, "names")= chr [1:5] "gender" "eyebrow" "collar" "sub-caudal" ... ..@ nbCluster : num 2 ..@ knownLabels: int(0) ..@ weight : num(0) ..@ nbVariable : int 5 ..@ nbSample : int 69 ..@ criterion : chr "BIC" ..@ models :Formal class 'MultinomialModel' [package "Rmixmod"] with 5 slots .. .. ..@ variable.independency : logi(0) .. .. ..@ component.independency: logi(0) .. .. ..@ listModels : chr "Binary_pk_Ekjh" .. .. ..@ 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 2 .. .. .. ..@ model : chr "Binary_pk_Ekjh" .. .. .. ..@ criterion : chr "BIC" .. .. .. ..@ criterionValue: num 519 .. .. .. ..@ parameters :Formal class 'MultinomialParameter' [package "Rmixmod"] with 5 slots .. .. .. .. .. ..@ center : num [1:2, 1:5] 2 1 2 3 2 1 2 1 1 1 .. .. .. .. .. ..@ scatter :List of 2 .. .. .. .. .. .. ..$ : num [1:5, 1:5] 0.428 0.1203 0.0509 0.3641 0.1074 ... .. .. .. .. .. .. ..$ : num [1:5, 1:5] 0.4937 0.0761 0.1521 0.039 0.0577 ... .. .. .. .. .. ..@ factor : num [1:5] 2 4 5 5 3 .. .. .. .. .. ..@ proportions: num [1:2] 0.346 0.654 .. .. .. .. .. ..@ nbFreeParam: num 29 .. .. .. ..@ likelihood : num -198 .. .. .. ..@ partition : num [1:69] 1 1 2 2 2 2 2 1 1 1 ... .. .. .. ..@ proba : num [1:69, 1:2] 0.998001 0.998377 0.000245 0.019384 0.019384 ... .. .. .. ..@ 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

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SaraTouzani/EM documentation built on Dec. 16, 2019, 12:31 a.m.