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For combining the fuzzy clusters, a fuzzy co-association matrix is extracted in a weighted manner out of initial fuzzy clusters according to their dependabilities. The suggested objective function is a constrained nonlinear objective function and we solve it by sparse sequential quadratic programming (SSQP). Experimentations indicate our method can outperform modern clustering ensemble approaches.<\/jats:p>","DOI":"10.3233\/jifs-201950","type":"journal-article","created":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T10:53:34Z","timestamp":1665485614000},"page":"1847-1863","source":"Crossref","is-referenced-by-count":0,"title":["Consensus fuzzy clustering by sequential quadratic programming approach"],"prefix":"10.1177","volume":"44","author":[{"given":"Navid","family":"Samimi","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran"}]},{"given":"Samad","family":"Nejatian","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Yasooj Branch, Islamic Azad University, Yasooj, Iran"}]},{"given":"Hamid","family":"Parvin","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, 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