https://m2.mtmt.hu/ hun 2026-04-30 12:58 JournalArticle 2698866 VALIDATED true Sapientia University of Transylvania, Faculty of Technical and Human Sciences, 540485 Tîrgu Mureş, Şoseaua Sighişoarei 1/C, Romania Budapest University of Technology and Economics, Department of Control Engineering and Information Technology, H-1117 Budapest, Magyar tudósok krt. 2, Hungary Petru Maior University, Department of Informatics, 540088 Tîrgu Mureş, Str. Nicolae Iorga Nr. 1, Romania Export Date: 13 March 2025; Cited By: 31; Correspondence Address: S.M. Szilágyi; Petru Maior University, Department of Informatics, 540088 Tîrgu Mureş, Str. Nicolae Iorga Nr. 1, Romania; email: szsandor72@yahoo.com; CODEN: NRCGE 0 2018-10-02T08:54:25.000+0000 false 2698866 2026-01-08T09:13:20.226+0000 2018-10-11T07:24:09.466+0000 2014-05-14T14:17:00.000+0000 true 10013789 Szilágyi László /api/author/10013789 Author true 10013789 2026-01-13T11:54:08.032+0000 2026-01-13T11:54:08.032+0000 2016-03-02T09:47:29.000+0000 true 10039288 Szmolyán Mária /api/admin/10039288 Admin true 10039288 2016-03-02T09:47:29.000+0000 true 10039288 Szmolyán Mária /api/admin/10039288 Admin true 10039288 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Szilágyi, L Generalization rules for the suppressed fuzzy c-means clustering algorithm true true /api/journal/3347 REVIEWED true false 3347 false 3347 true 0925-2312 1872-8286 Journal FOREIGN 139 298 309 298 12 2014 Intending to achieve an algorithm characterized by the quick convergence of hard c-means (HCM) and finer partitions of fuzzy c-means (FCM), suppressed fuzzy c-means (s-FCM) clustering was designed to augment the gap between high and low values of the fuzzy membership functions. Suppression is produced via modifying the FCM iteration by creating a competition among clusters: for each input vector, lower degrees of membership are proportionally reduced, being multiplied by a previously set constant suppression rate, while the largest fuzzy membership grows to maintain the probabilistic constraint. Even though so far it was not treated as an optimal algorithm, it was employed in a series of applications, and reported to be accurate and efficient in various clustering problems. In this paper we introduce some generalized formulations of the suppression rule, leading to an infinite number of new clustering algorithms. Further on, we identify the close relation between s-FCM clustering models and the so-called FCM algorithm with generalized improved partition (GIFP-FCM). Finally we reveal the constraints under which the generalized s-FCM clustering models minimize the objective function of GIFP-FCM, allowing us to call our suppressed clustering models optimal. Based on a large amount of numerical tests performed in multidimensional environment, several generalized forms of suppression proved to give more accurate partitions than earlier solutions, needing significantly less iterations than the conventional FCM. 2014 805309 true true true false true false PAY 2026-01-08 false true 10039288 Szmolyán Mária /api/admin/10039288 Admin true 10039288 34 0 34 24 10 32 30 27 28 31 31 21 21 24 10 0 34 24 34 24 0 3 3 Folyóiratcikk Journal Article 24 25 Könyvrészlet Chapter in Book 25 9 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2014 0 3 2 3 2 2015 0 3 0 3 0 2016 0 8 6 8 6 2017 0 5 5 5 5 2018 0 1 1 1 1 2019 0 1 0 1 0 2020 0 1 1 1 1 2021 0 1 1 1 1 2022 0 2 2 2 2 2023 0 5 2 5 2 2024 0 3 3 3 3 2025 0 1 1 1 1 Q1 false false false false 2016-03-02T09:47:29.000+0000 2014-06-23T17:04:30.000+0000 Irányítástechnika és Informatika Tanszék (BME / VIK) 2 14 1 2 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 5366306 /api/authorship/5366306 1 0.9 true false Author 10013789 /api/author/10013789 Szilágyi László true 10013789 true Szilágyi L true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 20065603 true PersonAuthorship 5366307 /api/authorship/5366307 2 0.1 false true Author 10041892 /api/author/10041892 Szilágyi Sándor Miklós true 10041892 true Szilágyi SM true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false 20065602 true PublicationIdentifier 869745 /api/publicationidentifier/869745 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true PAY true IDENTICAL 10.1016/j.neucom.2014.02.027 https://doi.org/10.1016/j.neucom.2014.02.027 false 895616 true PublicationIdentifier 869746 /api/publicationidentifier/869746 PlainSource 27 /api/publicationsource/27 PublicationSourceType 10004 /api/publicationsourcetype/10004 false true true ScienceDirect ScienceDirect http://www.sciencedirect.com/science/article/pii/@@@ true true 27 true false NO S0925231214004263 http://www.sciencedirect.com/science/article/pii/S0925231214004263 false 895617 true PublicationIdentifier 869743 /api/publicationidentifier/869743 PlainSource 1 /api/publicationsource/1 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true false IDENTICAL 000337661800028 https://www.webofscience.com/wos/woscc/full-record/000337661800028 false 944910 true PublicationIdentifier 869744 /api/publicationidentifier/869744 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true false IDENTICAL 84901014957 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84901014957 false 1261100 true Classification 10034 /api/classification/10034 true true SjrRating 11069283 /api/sjrrating/11069283 117 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 1706 /api/classificationexternal/1706 true 1706 true Q1 DIRECT true true /api/publication/2698866 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10013789"><a href="/gui2/?type=authors&mode=browse&sel=10013789" target="_blank">Szilágyi L (<span class="authorship-author-name">Szilágyi László</span> <span class="authorAux-mtmt"> Villamosmérnöki tudományok</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Villamosmérnöki és Informatikai Kar">VIK</span>/Irányítástechnika és Informatika Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041892"><a href="/gui2/?type=authors&mode=browse&sel=10041892" target="_blank">Szilágyi SM (<span class="authorship-author-name">Szilágyi Sándor Miklós</span> <span class="authorAux-mtmt"> Jelfeldolgozás</span>) </a> </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;2698866" target="_blank">Generalization rules for the suppressed fuzzy c-means clustering algorithm</a></div> <div> <span class="journal-title">NEUROCOMPUTING</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0925-2312">0925-2312</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1872-8286">1872-8286</a>)</span>: <span class="journal-volume">139</span> <span class="page"> pp 298-309 </span> <span class="year">(2014)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_PAY" title=" Fizetős "> <a style="color:blue" title="10.1016/j.neucom.2014.02.027" target="_blank" href="https://doi.org/10.1016/j.neucom.2014.02.027"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="S0925231214004263" target="_blank" href="http://www.sciencedirect.com/science/article/pii/S0925231214004263"> ScienceDirect </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000337661800028" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000337661800028"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="84901014957" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-84901014957"> Scopus </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Computer Science Applications&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Artificial Intelligence&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Cognitive Neuroscience&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q3</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 34</span> | Független: 24 | Függő: 10 | Nem jelölt: 0 | WoS jelölt: 27 | Scopus jelölt:&nbsp;28 | WoS/Scopus jelölt:&nbsp;31 | DOI jelölt:&nbsp;30 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;2698866&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 3 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 2698866</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> <span class="oldId">Régi azonosító: 2698866</span> | Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2018.10.11. 09:24 WoS import (admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Sapientia University of Transylvania, Faculty of Technical and Human Sciences, 540485 Tîrgu Mureş, Şoseaua Sighişoarei 1/C, Romania Budapest University of Technology and Economics, Department of Control Engineering and Information Technology, H-1117 Budapest, Magyar tudósok krt. 2, Hungary Petru Maior University, Department of Informatics, 540088 ...</pre> </div></div>