MixClusData-class: MixClusData objects

In MixCluster: MixCluster performs the clustering of mixed-type data sets (data sets with different natures of variables) with missing values.

Description

This class contains the elements related to the data set.

x

A matrix presenting the observed data. Missing values are indicated by NA.

o

A list where element j contains the individual whose variable j is observed.

e

Number of observed variables.

n

Number of individuals.

kind

A vector containing the nature of the variables (1: continuous, 2: integer, 3: ordinal).

partition

A vector indicating the partition estimated by applying the Maximum A posteriori rule.

tik

A matrix where row i and column k denotes the probability that individual i arises from class k.

proba

A matrix where row i and column k denotes the pdf of individual i under component k.

condexpec

A list containing the expectation of y per class.

Examples

new("MixClusData")

getSlots("MixClusData")

MixCluster documentation built on May 2, 2019, 5:49 p.m.