modelKS-class {ClustMMDD} | R Documentation |
modelKS
is a class of parameters of (K, S) model.modelKS
is a class that can contain the set of parameters associated to a model given by (K, S).
Objects can be created by calling new("modelKS", ...)
. See new
for more details.
N
:The number of individuals in the datatset.
P
:The number of random variables considered in the dataset.
N_levels
:A vector of the numbers of levels for the considered variables.
levels
:A "list"
of the observed levels for the variables.
K
:The number of clusters.
S
:A vector of "logical"
indicating the clustering variables.
dim
:The dimension of a model (K,S) defined as the number of free parmaters.
mixingProportions
:The numeric vector of the mixing proportions.
count
:A "list"
of the counts of levels for each variable.
frequencies
:A "list"
of the observed frequencies for each variable.
proba
:A "list"
of "matrix"
that contains the estimates of the levels probabilities in each clusters.
logLik
:An approximation of the maximum log-likelihood obtained by the EM algorithm.
entropy
:The entropy given by -∑_{i=1}^N∑_{k=1}^Kτ_{i,k}log≤ft(τ_{i,k}\right), where τ_{i,k} is the probability that individual i belongs to cluster k
membershipProba
:The "numeric"
matrix of membership probabilities.
mapClassification
:The maximum a posteriori classification given by a vector of "integers"
.
signature(e1 = "modelKS", e2 = "ANY")
: ...
signature(x = "modelKS")
: ...
signature(x = "modelKS")
: ...
signature(el = "modelKS", set = "modelKS")
: ...
signature(object = "modelKS")
: ...
signature(object = "modelKS", N = "numeric", ploidy = "numeric")
: ...
signature(file = "character")
: ...
signature(object = "modelKS")
: ...
Wilson Toussile.
Dominique Bontemps and Wilson Toussile (2013) : Clustering and variable selection for categorical multivariate data. Electronic Journal of Statistics, Volume 7, 2344-2371, ISSN.
Wilson Toussile and Elisabeth Gassiat (2009) : Variable selection in model-based clustering using multilocus genotype data. Adv Data Anal Classif, Vol 3, number 2, 109-134.
slotNames
, new
, methods
, showClass
.
data(exModelKS) showClass("modelKS") slotNames("modelKS") exModelKS exModelKS["K"] exModelKS["S"] model(exModelKS)