https://m2.mtmt.hu/ hun 2026-05-03 11:28 JournalArticle 31056733 APPROVED true Export Date: 4 August 2021 CODEN: IJUSF Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: This research was supported by the János Bolyai Research Fellowship program of the Hungarian Academy of Sciences. 0 false 2026-01-08T09:13:09.668+0000 2025-03-19T07:59:25.026+0000 2020-01-09T00:56:08.765+0000 true 565 WoS import /api/admin/565 Admin true 2025-04-14T12:31:15.653+0000 2025-04-14T12:31:15.653+0000 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 Szilagyi, Laszlo Self-Tuning Possibilistic c-Means Clustering Models true true /api/journal/12890 REVIEWED true false 12890 false 12890 true 0218-4885 1793-6411 Journal FOREIGN 27 142 158 142 17 2019 The relaxation of the probabilistic constraint of the fuzzy c-means clustering model was proposed to provide robust algorithms that are insensitive to strong noise and outlier data. These goals were achieved by the possibilistic c-means (PCM) algorithm, but these advantages came together with a sensitivity to cluster prototype initialization. According to the original recommendations, the probabilistic fuzzy c-means (FCM) algorithm should be applied to establish the cluster initialization and possibilistic penalty terms for PCM. However, when FCM fails to provide valid cluster prototypes due to the presence of noise, PCM has no chance to recover and produce a fine partition. This paper proposes a two-stage c-means clustering algorithm to tackle with most problems enumerated above. In the first stage called initialization, FCM with two modifications is performed: (1) extra cluster added for noisy data; (2) extra variable and constraint added to handle clusters of various diameters. In the second stage, a modified PCM algorithm is carried out, which also contains the cluster width tuning mechanism based on which it adaptively updates the possibilistic penalty terms. The proposed algorithm has less parameters than PCM when the number of clusters is c > 2. Numerical evaluation involving synthetic and standard test data sets proved the advantages of the proposed clustering model. 2020 true true true false false NONE 2026-01-08 false 4 0 4 3 1 3 4 3 2 4 4 3 3 3 1 0 4 3 4 3 0 7 7 Folyóiratcikk Journal Article 24 2 Könyvrészlet Chapter in Book 25 2 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 2022 0 1 1 1 1 2023 0 2 1 2 1 2024 0 0 0 0 0 2025 0 1 1 1 1 Q2 false false false false 2025-03-12T14:30:21.579+0000 Élettani Szabályozások Kutatóközpont (ÓE / EKIK) 3 15 1 3 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 89886631 /api/authorship/89886631 1 0.33333334 true false true Author 10013789 /api/author/10013789 Szilágyi László true 10013789 true Szilagyi Laszlo true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 89886632 /api/authorship/89886632 2 0.33333334 false false false Author 10063340 /api/author/10063340 Lefkovits Szidónia true 10063340 true Lefkovits Szidonia true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 89886633 /api/authorship/89886633 3 0.33333334 false true false Author 10041892 /api/author/10041892 Szilágyi Sándor Miklós true 10041892 true Szilagyi Sandor M. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 16384696 /api/publicationidentifier/16384696 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1142/S0218488519400075 https://doi.org/10.1142/S0218488519400075 false true PublicationIdentifier 16384695 /api/publicationidentifier/16384695 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 IDENTICAL 000495443400008 https://www.webofscience.com/wos/woscc/full-record/000495443400008 false true PublicationIdentifier 19063861 /api/publicationidentifier/19063861 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 IDENTICAL 85074650404 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85074650404 false true Classification 10034 /api/classification/10034 true true Keyword 1012212 /api/keyword/1012212 true 1012212 true Keyword 1889757 /api/keyword/1889757 true true Keyword 1889758 /api/keyword/1889758 true true Keyword 1889759 /api/keyword/1889759 true true Keyword 1889760 /api/keyword/1889760 true true Keyword 1889761 /api/keyword/1889761 true true SjrRating 10775079 /api/sjrrating/10775079 125 0.49 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 2207 /api/classificationexternal/2207 true 2207 true Q2 DIRECT true true /api/publication/31056733 <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">Szilagyi Laszlo ✉ (<span class="authorship-author-name">Szilágyi László</span> <span class="authorAux-mtmt"> Villamosmérnöki tudományok</span>) </a> </span> <span class="author-affil"><span title="Óbudai Egyetem">ÓE</span>/<span title="Egyetemi Kutató, Innovációs és Szolgáltató Központ">EKIK</span>/Élettani Szabályozások Kutatóközpont</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10063340"><a href="/gui2/?type=authors&mode=browse&sel=10063340" target="_blank">Lefkovits Szidonia (<span class="authorship-author-name">Lefkovits Szidónia</span> <span class="authorAux-mtmt"> Informatika</span>) </a> </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10041892"><a href="/gui2/?type=authors&mode=browse&sel=10041892" target="_blank">Szilagyi Sandor M. (<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;31056733" target="_blank">Self-Tuning Possibilistic c-Means Clustering Models</a></div> <div> <span class="journal-title">INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/0218-4885">0218-4885</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1793-6411">1793-6411</a>)</span>: <span class="journal-volume">27</span> <span class="page"> pp 142-158 </span> <span class="year">(2019)</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_none" title="none"> <a style="color:blue" title="10.1142/S0218488519400075" target="_blank" href="https://doi.org/10.1142/S0218488519400075"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000495443400008" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000495443400008"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85074650404" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85074650404"> Scopus </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Control and Systems Engineering&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Artificial Intelligence&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q3</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Information Systems&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q3</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Software&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: 4</span> | Független: 3 | Függő: 1 | Nem jelölt: 0 | WoS jelölt: 3 | Scopus jelölt:&nbsp;2 | WoS/Scopus jelölt:&nbsp;4 | DOI jelölt:&nbsp;4 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;31056733&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 7 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 31056733</span> | <span class="status-data status-APPROVED"> Nyilvános </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">WoS-XML</span> </div> <div class="lastModified">Utolsó módosítás: 2025.03.19. 08:59 Tamássyné T. Zsuzsa (OE admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: Export Date: 4 August 2021 CODEN: IJUSF Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: This research was supported by the János Bolyai Research Fellowship program of the Hungarian Academy of Sciences.</pre> </div></div>