binClst-class {EMbC} | R Documentation |
Binary Clustering Class
Description
binClst
is a generic multivariate binary clustering object.
Slots
X
The input data set. A multivariate matrix where each row is a data point and each column is an input feature (a variable).
U
A multivariate matrix with same dimension as X with the values of certainty associated to each corresponding value in X. Ceartainties assign reliability to the data points so that the less reliable is a data point the less its leverage in the clustering. By default certainties are set to one for all variables of all data points.
stdv
A numeric vector with variable specific values for minimum standard deviation.
m
The number of input features.
k
The number of clusters.
n
The number of observations (data points).
R
A matrix with the values delimiting each binary region (the
Reference
values).P
A list with the GMM (Gaussian Mixture Model) parameters. Each element of the list corresponds to a component of the GMM and it is a named-sublist itself, with elements '$M' (the component's mean) and '$S' (the component's covariance matrix).
W
A n*k matrix with the likelihood weights.
A
A numeric vector with the clustering labels (annotations) for each data-point (the basic output data). Labels are assigned based on the likelihood weights. Only in case of equal likelihoods the delimiters are used as a further criterion to assign labels.
L
The values of likelihood at each step of the optimization process.
C
Default color palette used for the plots. Can be changed by means of the setc() function.