Suchergebnisse - clustering algorithms and validity measure

Normalised Clustering Accuracy: An Asymmetric External Cluster Validity Measure.

Autoren: Gagolewski, Marek^1,2 (AUTHOR) marek.gagolewski@pw.edu.pl

Quelle: Journal of Classification. Mar2025, Vol. 42 Issue 1, p2-30. 29p.

Schlagwörter: *Algorithms, Clustering algorithms

Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms

Autoren: Hossam M. J. Mustafa Masri Ayob

Quelle: Applied Computational Intelligence and Soft Computing, Vol 2022 (2022)

Schlagwörter: Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology

Dateibeschreibung: text/xhtml

Zugangs-URL: https://doaj.org/article/1c057aa05e9f4e8baef122396ea0316c

Improved Automatic Clustering Using a Multi-Objective Evolutionary Algorithm With New Validity measure and application to Credit Scoring

Autoren: majid mohammadi rad mahdi afzali

Quelle: Iranian Journal of Optimization, Vol 10, Iss 1, Pp 51-58 (2018)

Schlagwörter: Clustering, Data Mining, Evolution Algorithm, Credit Score, Clustering Validity Measure, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: http://ijo.iaurasht.ac.ir/article_533147_6bf96d1f1acd36c0d945c0ad9658028d.pdf; https://doaj.org/toc/2588-5723; https://doaj.org/toc/2008-5427

Zugangs-URL: https://doaj.org/article/0c303c75a0ea494fbc842b6d7d5790db

Simrec: a similarity measure recommendation system for mixed data clustering algorithms

Autoren: Abdoulaye Diop Nabil El-Malki Max Chevalier et al.

Quelle: Journal of Big Data, Vol 12, Iss 1, Pp 1-37 (2025)

Schlagwörter: Similarity measure recommendation, Mixed data clustering, Meta-learning, Computer engineering. Computer hardware, TK7885-7895, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2196-1115

Zugangs-URL: https://doaj.org/article/6d990c5029fc44a9907b789b06df0ab1

Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms.

Autoren: Mustafa, Hossam M. J. Ayob, Masri

Quelle: Applied Computational Intelligence & Soft Computing; 3/28/2022, p1-10, 10p

Schlagwörter: OUTLIER detection, METAHEURISTIC algorithms, ALGORITHMS

Normalised clustering accuracy: An asymmetric external cluster validity measure

Autoren: Gagolewski, Marek

Index Begriffe: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2209.02935

Evaluation of Clustering Algorithm with Kernelized Validity Measures / カーネル化された妥当性関数によるクラスタリングアルゴリズムの評価

Autoren: Sadaaki Miyamoto Tetsuya Nakamura 中村 哲也 et al.

Quelle: Proceedings of the Fuzzy System Symposium. 2006, :39

A Multi-Objective Approach to Fuzzy Clustering using ITLBO Algorithm

Autoren: P. Shahsamandi Esfahani A. Saghaei

Quelle: Journal of Artificial Intelligence and Data Mining, Vol 5, Iss 2, Pp 307-317 (2017)

Schlagwörter: Fuzzy clustering, Cluster validity measure, Multi-objective optimization, meta-heuristic algorithms, Improved Teaching-Learning Based Optimization, Information technology, T58.5-58.64, Computer software, QA76.75-76.765

Dateibeschreibung: electronic resource

Relation: http://jad.shahroodut.ac.ir/article_784_775b7821cb7901fb08dc2a13de73591c.pdf; https://doaj.org/toc/2322-5211; https://doaj.org/toc/2322-4444

Zugangs-URL: https://doaj.org/article/7cf197d1faec44788045d68e7401ab77

Clustering with Minimum Spanning Trees: How Good Can It Be?

Autoren: Gagolewski, Marek Cena, Anna Bartoszuk, Maciej et al.

Quelle: Journal of Classification. Mar2025, Vol. 42 Issue 1, p90-112. 23p.

Schlagwörter: *Artificial intelligence, *Image processing, Spanning trees, K-means clustering, Hierarchical clustering (Cluster analysis)

Benchmarking validity indices for evolutionary K-means clustering performance.

Autoren: Ikotun AM Habyarimana F Ezugwu AE

Quelle: Scientific reports [Sci Rep] 2025 Jul 01; Vol. 15 (1), pp. 21842. Date of Electronic Publication: 2025 Jul 01.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Selection of density standard and X–ray tube settings for computed digital absorptiometry in horses using the k–means clustering algorithm.

Autoren: Turek, Bernard Pawlikowski, Marek Jankowski, Krzysztof et al.

Quelle: BMC Veterinary Research. 3/13/2025, Vol. 21 Issue 1, p1-19. 19p.

Schlagworte: Clustering algorithms, Phalanges, Bone density, Cancellous bone, Compact bone

Cluster Validity Measures with Kernels and Direct Optimization Algorithms / 様々なクラスター妥当性関数の比較：カーネル化と直接最適化

Autoren: Sadaaki Miyamoto Tetsuya Nakamura Wataru Hashimoto et al.

Quelle: Proceedings of the Fuzzy System Symposium. 2007, :276

Performance Evaluation of Line Symmetry-Based Validity Indices on Clustering Algorithms

Autoren: Kumar Vijay Chhabra Jitender Kumar Kumar Dinesh

Quelle: Journal of Intelligent Systems, Vol 26, Iss 3, Pp 483-503 (2017)

Schlagwörter: cluster validity index, line symmetry-based distance, modified harmony search-based clustering technique, Science, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/0334-1860; https://doaj.org/toc/2191-026X

Zugangs-URL: https://doaj.org/article/6b9782d4f2854701bf3b0403606d0407

ALTERNATIVE TERMINATION CRITERION FOR K-SPECIFIED CRISP DATA CLUSTERING ALGORITHMS

Autoren: Volodymyr Mosorov Taras Panskyi Sebastian Biedron

Quelle: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 7, Iss 3 (2017)

Schlagwörter: pre-clustering algorithm, internal validity measures, Environmental engineering, TA170-171, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://ph.pollub.pl/index.php/iapgos/article/view/1368; https://doaj.org/toc/2083-0157; https://doaj.org/toc/2391-6761

Zugangs-URL: https://doaj.org/article/b8c2074afc62482e9abb6fd8aa95c5c3

A new AntTree-based algorithm for clustering short-text corpora

Autoren: Marcelo Luis Errecalde Diego Alejandro Ingaramo Paolo Rosso

Quelle: Journal of Computer Science and Technology, Vol 10, Iss 01, Pp 1-7 (2010)

Schlagwörter: internal validity measures, anttree, short-text clustering, bio-inspired algorithms, silhouette coefficient, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://journal.info.unlp.edu.ar/JCST/article/view/708; https://doaj.org/toc/1666-6046; https://doaj.org/toc/1666-6038

Zugangs-URL: https://doaj.org/article/ebbb03d42c06452597644bf3f6ba7323

Cluster validity measure and merging system for hierarchical clustering considering outliers

Autoren: De Morsier F. Tuia D. Borgeaud M. et al.

Quelle: Pattern Recognition

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0031320314003872
https://infoscience.epfl.ch/record/190030
https://dblp.uni-trier.de/db/journals/pr/pr48.html#MorsierTBGT15
http://ui.adsabs.harvard.edu/abs/2015PatRe..48.1478D/abstract
http://www.sciencedirect.com/science/article/pii/S0031320314003872
https://core.ac.uk/display/147998746

Evaluation of Subspace Clustering Using Internal Validity Measures

Autoren: OSZUST, M. KOSTKA, M.

Quelle: Advances in Electrical and Computer Engineering, Vol 15, Iss 3, Pp 141-146 (2015)

Schlagwörter: pattern recognition, data mining, subspace clustering, clustering validation, distance metrics, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1582-7445; https://doaj.org/toc/1844-7600

Zugangs-URL: https://doaj.org/article/97d95ea79c624a53a6428488c3716f93

A new validity measure for a correlation-based fuzzy c-means clustering algorithm.

Autoren: Zhang M Zhang W Sicotte H et al.

Quelle: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2009; Vol. 2009, pp. 3865-8.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: [IEEE] Country of Publication: United States NLM ID: 101763872 Publication Model: Print Cited Medium: Print ISSN: 2375-7477 (Print) Linking ISSN: 23757477 NLM ISO Abbreviation: Annu Int Conf IEEE Eng Med Biol Soc Subsets: MEDLINE

MeSH-Schlagworte: Cluster Analysis*, Oligonucleotide Array Sequence Analysis/*methods, Algorithms ; Computational Biology/methods ; Fuzzy Logic ; Gene Expression Profiling/methods ; Gene Expression Regulation ; Genes, Fungal ; Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/metabolism ; Models, Statistical ; Pattern Recognition, Automated/methods ; Sequence Alignment/methods ; Software ; Time Factors

A cluster validity measure with outlier detection for support vector clustering.

Autoren: Wang JS Chiang JC

Quelle: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society [IEEE Trans Syst Man Cybern B Cybern] 2008 Feb; Vol. 38 (1), pp. 78-89.

Publikationsart: Evaluation Study; Journal Article; Validation Study

Info zur Zeitschrift: Publisher: Institute of Electrical and Electronics Engineers, Inc Country of Publication: United States NLM ID: 9890044 Publication Model: Print Cited Medium: Print ISSN: 1083-4419 (Print) Linking ISSN: 10834419 NLM ISO Abbreviation: IEEE Trans Syst Man Cybern B Cybern Subsets: MEDLINE

MeSH-Schlagworte: Algorithms* , Artificial Intelligence* , Cluster Analysis*, Pattern Recognition, Automated/*methods, Reproducibility of Results ; Sensitivity and Specificity

Decision Theory, an Unprecedented Validation Scheme for Rough-Fuzzy Clustering.

Autoren: Revathy, S. Parvathavarthini, B. Caroline, S. Shiny

Quelle: International Journal on Artificial Intelligence Tools; Apr2016, Vol. 25 Issue 2, p-1, 14p

Schlagwörter: FUZZY clustering technique, DECISION theory, ROUGH sets, ALGORITHMS, PROBABILITY measures, DATA mining