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AdaptGauss (version 1.2.0)

ClassifyByDecisionBoundaries: Classify Data according to decision Boundaries

Description

The Decision Boundaries calculated through Bayes Theorem.

Usage

ClassifyByDecisionBoundaries(Data,DecisionBoundaries,ClassLabels)

Arguments

Data
vector of Data
DecisionBoundaries
decision boundaries, BayesDecisionBoundaries
ClassLabels
Optional numbered class labels that are assigned to the classes. default (1:L), L number of different components of gaussian mixture model

Value

  • 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.

References

Duda, R. O., Hart, P. E., & Stork, D. G. (2001). Pattern classification. 2nd. Edition. New York, p. 512ff

See Also

BayesDecisionBoundaries, Bayes4Mixtures