We consider the problem of data clustering using a heterogeneous ensemble with the use ofa co-association matrix. A probabilistic model is stated that takes into account the correlation ofevaluation functions with the...
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We consider the problem of data clustering using a heterogeneous ensemble with the use ofa co-association matrix. A probabilistic model is stated that takes into account the correlation ofevaluation functions with the help of which relationships are found between the characteristics ofthe ensemble and the quality indicators of the final solution. An expression for the optimalweights of basic algorithms for which the upper bound on the clustering error probability estimateis minimal is found. An experimental study of the proposed method has been carried out showingthe method to be advantageous over a number of similar methods.
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