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Computational experiments show the robustness and efficiency of the proposed algorithm and its superiority over standard algorithms such as two-mode K-means, two-mode fuzzy clustering, and block classification EM.<\/jats:p>","DOI":"10.1162\/neco_a_00490","type":"journal-article","created":{"date-parts":[[2013,6,18]],"date-time":"2013-06-18T17:20:49Z","timestamp":1371576049000},"page":"2776-2807","source":"Crossref","is-referenced-by-count":10,"title":["Block Clustering Based on Difference of Convex Functions (DC) Programming and DC Algorithms"],"prefix":"10.1162","volume":"25","author":[{"given":"Hoai Minh","family":"Le","sequence":"first","affiliation":[{"name":"Laboratory of Theoretical and Applied Computer Science, University of Lorraine, 57045 Metz, France"}]},{"given":"Hoai An","family":"Le Thi","sequence":"additional","affiliation":[{"name":"Laboratory of Theoretical and Applied Computer Science, University of Lorraine, 57045 Metz, France"}]},{"given":"Tao Pham","family":"Dinh","sequence":"additional","affiliation":[{"name":"Laboratoire of Mathematics, National Institute for Applied Sciences\u2014Rouen, 76800 Saint-\u00c9tienne-du-Rouvray cedex, France"}]},{"given":"Van Ngai","family":"Huynh","sequence":"additional","affiliation":[{"name":"University of Qui Nhon, Quy Nhon City, Vietnam"}]}],"member":"281","reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.2307\/2532201"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.191502998"},{"key":"B5","first-page":"82","volume-title":"Machine Learning Proceedings of the Fifteenth International Conferences","author":"Bradley B. 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