Open AccessScheme of optimal ensembles of clustering algorithms with a combined use of the Greedy Heuristics Method and a matched binary partitioning matrix
Author(s) -
Ivan Rozhnov,
Lev Kazakovtsev,
А. А. Попов
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/315/3/032031
Subject(s) - heuristics , greedy algorithm , cluster analysis , binary number , algorithm , matrix (chemical analysis) , computer science , genetic algorithm , scheme (mathematics) , mathematical optimization , homogeneous , mathematics , artificial intelligence , combinatorics , materials science , arithmetic , composite material , mathematical analysis
We propose a procedure for building optimal ensembles of automatic grouping (clustering) algorithms with a combined use of the genetic algorithm of the Greedy Heuristics Method and a matched binary partitioning matrix for practical problems. It is shown that our procedure allows us to increase the accuracy of separation of a mixed batch of industrial products into homogeneous batches.