mod:

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

Usage

data("mod")

Format

The format is: List of 15 $ call : language Mclust(data = iris[, 1:4]) $ 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" $ modelName : chr "VEV" $ n : int 150 $ d : int 4 $ G : int 2 $ BIC : 'mclustBIC' num [1:9, 1:14] -1804 -1123 -879 -894 -783 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:9] "1" "2" "3" "4" ... .. ..$ : chr [1:14] "EII" "VII" "EEI" "VEI" ... ..- attr(*, "G")= num [1:9] 1 2 3 4 5 6 7 8 9 ..- attr(*, "modelNames")= chr [1:14] "EII" "VII" "EEI" "VEI" ... ..- attr(*, "control")=List of 4 .. ..$ eps : num 2.22e-16 .. ..$ tol : num [1:2] 1.00e-05 1.49e-08 .. ..$ itmax : int [1:2] 2147483647 2147483647 .. ..$ equalPro: logi FALSE ..- attr(*, "initialization")=List of 3 .. ..$ hcPairs: 'hc' num [1:2, 1:149] 102 143 128 139 18 41 1 18 1 28 ... .. .. ..- attr(*, "initialPartition")= num [1:150] 1 2 3 4 5 6 7 8 9 10 ... .. .. .. ..- attr(*, "unique")= int 150 .. .. ..- attr(*, "dimensions")= int [1:2] 150 4 .. .. ..- attr(*, "modelName")= chr "VVV" .. .. ..- attr(*, "call")= language hc(data = data, modelName = mclust.options("hcModelName")[1]) .. .. ..- attr(*, "use")= chr "SVD" .. .. ..- attr(*, "data")= num [1:150, 1:4] -0.494 -0.454 -0.516 -0.502 -0.522 ... .. ..$ subset : NULL .. ..$ noise : NULL ..- attr(*, "warn")= logi FALSE ..- attr(*, "n")= int 150 ..- attr(*, "d")= int 4 ..- attr(*, "oneD")= logi FALSE ..- attr(*, "criterion")= chr "BIC" ..- attr(*, "returnCodes")= num [1:9, 1:14] 0 0 0 0 0 0 0 0 0 0 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:9] "1" "2" "3" "4" ... .. .. ..$ : chr [1:14] "EII" "VII" "EEI" "VEI" ... $ bic : num -562 $ loglik : num -216 $ df : num 26 $ hypvol : num NA $ parameters :List of 4 ..$ pro : num [1:2] 0.333 0.667 ..$ mean : num [1:4, 1:2] 5.006 3.428 1.462 0.246 6.262 ... .. ..- attr(*, "dimnames")=List of 2 .. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" .. .. ..$ : NULL ..$ variance:List of 7 .. ..$ modelName : chr "VEV" .. ..$ d : int 4 .. ..$ G : int 2 .. ..$ sigma : num [1:4, 1:4, 1:2] 0.1507 0.1308 0.0208 0.0131 0.1308 ... .. .. ..- attr(*, "dimnames")=List of 3 .. .. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" .. .. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" .. .. .. ..$ : NULL .. ..$ scale : num [1:2] 0.0377 0.1331 .. ..$ shape : num [1:4] 7.911 0.923 0.63 0.217 .. ..$ orientation: num [1:4, 1:4, 1:2] -0.6691 -0.7341 -0.0965 -0.0636 0.5979 ... .. .. ..- attr(*, "dimnames")=List of 3 .. .. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" .. .. .. ..$ : chr [1:4] "Sepal.Length" "Sepal.Width" "Petal.Length" "Petal.Width" .. .. .. ..$ : NULL ..$ Vinv : NULL $ z : num [1:150, 1:2] 1 1 1 1 1 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : NULL .. ..$ : NULL $ classification: num [1:150] 1 1 1 1 1 1 1 1 1 1 ... $ uncertainty : num [1:150] 2.51e-11 5.56e-08 3.64e-09 8.61e-08 8.50e-12 ... - attr(*, "class")= chr "Mclust"

Examples

data(mod)
## maybe str(mod) ; plot(mod) ...

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