BayesClassification {AdaptGauss} | R Documentation |
Bayes Klassifikation den Daten zuordnen
BayesClassification(Data, Means, SDs, Weights, IsLogDistribution = Means
* 0, ClassLabels = c(1:length(Means)))
Data |
vector of Data |
Means |
vector[1:L] of Means of Gaussians (of GMM) |
SDs |
vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means |
Weights |
vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means |
IsLogDistribution |
Optional, ==1 if distribution(i) is a LogNormal, default vector of zeros of length 1:L |
ClassLabels |
Optional numbered class labels that are assigned to the classes. default (1:L), L number of different components of gaussian mixture model |
Cls(1:n,1:d) classiffication of Data, such that 1= first component of gaussian mixture model, 2= second component of gaussian mixture model and so on. For Every datapoint a number is returned.
Michael Thrun