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Model and Method for Constructing a Heterogeneous Cluster Ensemble. / Berikov, V. B.
в: Automation and Remote Control, Том 83, № 12, 2022, стр. 1944-1958.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Model and Method for Constructing a Heterogeneous Cluster Ensemble
AU - Berikov, V. B.
N1 - Публикация для корректировки.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - cluster analysis
KW - cluster ensemble model
KW - co-association matrix
KW - ensemble of algorithms
KW - optimal weights of algorithms
UR - https://www.mendeley.com/catalogue/070a757b-7f86-30f6-aaf3-c93b98bd6063/
U2 - 10.1134/S00051179220120086
DO - 10.1134/S00051179220120086
M3 - Article
VL - 83
SP - 1944
EP - 1958
JO - Automation and Remote Control
JF - Automation and Remote Control
SN - 0005-1179
IS - 12
ER -
ID: 55694331