https://m2.mtmt.hu/ eng 2026-08-26 10:42 JournalArticle 33447095 APPROVED true 0 false 2025-12-19T12:10:15.235+0000 2025-12-19T12:08:50.170+0000 2022-12-23T06:56:40.090+0000 true 521 Szuper Admin /api/admin/521 Admin Admin Szuper (admin) true 2025-12-19T12:08:50.435+0000 2025-12-19T12:08:50.435+0000 false false true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Article (Journal Article) 101 true 10000059 true 1 /api/category/1 Category Scientific true 1 Azzouzi, Souad true true /api/journal/10055182 REVIEWED EVOLUTIONARY INTELLIGENCE 1864-5909 1864-5917 true false 10055182 false 10055182 true 1864-5909 1864-5917 Journal FOREIGN 16 1237 1258 1237 22 2023 In this paper, we introduce a new clustering algorithm called Improved Kernel Possibilistic Fuzzy C-Means algorithm (ImKPFCM), based on the kernel method and possibilistic approach. The proposed ImKPFCM algorithm corrects several FCM, PFCM and GPFCM algorithms shortcomings, reliably detects clustering centers and allows in addition to use Euclidean distance, the employment of other more powerful additional norms able to handle various complex situations. In this study, we applied ImKPFCM algorithm as a new image clustering method on the basis of Tchebychev orthogonal moments to extract feature vectors and then compared it with FCM, PFCM and GPFCM algorithms to evaluate its performance. The comparative study results applied to several image dataset, revealed that the ImKPFCM clustering algorithm improves the clustering accuracy over the FCM, PFCM and GPFCM methods. Therefore, we conclude that the ImKPFCM algorithm is more efficient and produces satisfactory image clustering results. true 2022 true true true false false false NONE 2025-12-19 false 0 0 0 0 0 0 0 0 0 0 0 0 1 1 Q2 false false false false 2026-03-19T12:08:50.079+0000 3 12 0 4 0 true Language 10002 /api/language/10002 English Angol English true 2 true PersonAuthorship 105637128 /api/authorship/105637128 Azzouzi, Souad ✉ 1 0.25 true false true Azzouzi Souad true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 105637129 /api/authorship/105637129 Hjouji, Amal 2 0.25 false false false Hjouji Amal true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 105637130 /api/authorship/105637130 EL-Mekkaoui, Jaouad 3 0.25 false false false EL-Mekkaoui Jaouad true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 105637131 /api/authorship/105637131 EL Khalfi, Ahmed 4 0.25 false true false EL Khalfi Ahmed true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PublicationIdentifier 22601899 /api/publicationidentifier/22601899 DOI: 10.1007/s12065-022-00734-x PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1007/s12065-022-00734-x https://doi.org/10.1007/s12065-022-00734-x false true PublicationIdentifier 22601898 /api/publicationidentifier/22601898 WoS: 000805743500001 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 000805743500001 https://www.webofscience.com/wos/woscc/full-record/000805743500001 false true Classification 10034 /api/classification/10034 Computer and information sciences true true Keyword 1011157 /api/keyword/1011157 Fuzzy clustering true 1011157 true Keyword 1678533 /api/keyword/1678533 Fuzzy c-means (FCM) true true Keyword 1909125 /api/keyword/1909125 possibilistic fuzzy c-means (PFCM) true true Keyword 2891181 /api/keyword/2891181 Possibilistic C-Means (PCM) true true Keyword 2891182 /api/keyword/2891182 Generalized Possibilistic Fuzzy C-Means (GPFCM) Kernel method clustering true true Keyword 2891183 /api/keyword/2891183 Tchebychev orthogonal moments true true SjrRating 11366659 /api/sjrrating/11366659 sjr:Q2 (2023) Scopus - Computer Vision and Pattern Recognition EVOLUTIONARY INTELLIGENCE 1864-5909 1864-5917 39 0.49 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 1707 /api/classificationexternal/1707 Scopus - Computer Vision and Pattern Recognition true 1707 true Q2 DIRECT true true /api/publication/33447095 Azzouzi Souad et al. An improved image clustering algorithm based on Kernel method and Tchebychev orthogonal moments. (2023) EVOLUTIONARY INTELLIGENCE 1864-5909 1864-5917 16 1237-1258<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Azzouzi Souad ✉ </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Hjouji Amal </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >EL-Mekkaoui Jaouad </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >EL Khalfi Ahmed </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;33447095" target="_blank">An improved image clustering algorithm based on Kernel method and Tchebychev orthogonal moments</a></div> <div> <span class="journal-title">EVOLUTIONARY INTELLIGENCE</span> <span class="journal-issn">(<a target="_blank" href="https://portal.issn.org/resource/ISSN/1864-5909">1864-5909</a> <a target="_blank" href="https://portal.issn.org/resource/ISSN/1864-5917">1864-5917</a>)</span>: <span class="journal-volume">16</span> <span class="page"> pp 1237-1258 </span> <span class="year">(2023)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:black" title="10.1007/s12065-022-00734-x" target="_blank" href="https://doi.org/10.1007/s12065-022-00734-x"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000805743500001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000805743500001"> WoS </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33447095&sort=publishedYear,desc&sort=title"> Number of cited publications: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 33447095</span> | <span class="status-data status-APPROVED"> Published </span> Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">WoS-XML</span> </div> <div class="lastModified">Last Modified: 2025.12.19. 13:08 Erika Szatmári (BME admin4) </div> </div></div>