Výsledky vyhledávání - "hierarchical clustering algorithms"

Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms

Autoři: Rashid Behzadidoost Habib Izadkhah

Zdroj: Journal of Classification. 42:457-489

Improving BIRCH hierarchical clustering algorithms for enhanced partitioning of medical data

Autoři: Faiz Alshrouf Shadi Masadeh Dimah Al-Fraihat a další

Zdroj: Cluster Computing. 28

Line Segmentation in Persian Texts in Double Columns Using Hierarchical Clustering Algorithms

Autoři: Afsaneh Ajodani Mansoor Fateh

Zdroj: 2024 10th International Conference on Signal Processing and Intelligent Systems (ICSPIS). :240-243

Abnormalities Detection in Apert Syndrome using Hierarchical Clustering Algorithms

Autoři: null Nur Syahirah Zulkipli null Siti Zanariah Satari null Wan Nur Syahidah Wan Yusoff

Zdroj: Journal of Advanced Research in Applied Sciences and Engineering Technology. 44:135-174

Témata: 3. Good health

Hierarchical Clustering Algorithms on Poisson and Cox Point Processes

Autoři: Khaniha, Sayeh Baccelli, François

Témata: Probability (math.PR), FOS: Mathematics, Mathematics - Probability

Přístupová URL adresa: http://arxiv.org/abs/2503.18555

Comparison of K-Means, BIRCH and Hierarchical Clustering Algorithms in Clustering OCD Symptom Data

Autoři: Alika Rahmarsyarah Rizalde Haykal Alya Mubarak Gilang Ramadhan a další

Zdroj: Public Research Journal of Engineering, Data Technology and Computer Science. 1:102-108

The Computational Complexity of Hierarchical Clustering Algorithms for Community Detection: A Review

Autoři: Van Hieu Bui Huyen Trang Phan

Zdroj: Vietnam Journal of Computer Science, Vol 10, Iss 04, Pp 409-431 (2023)

Témata: Cluster Validation, Artificial intelligence, Social Sciences, Experimental and Cognitive Psychology, Information technology, 02 engineering and technology, 7. Clean energy, Hierarchical clustering, Data science, 12. Responsible consumption, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Field (mathematics), Machine learning, 11. Sustainability, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Network Analysis of Psychopathology and Mental Disorders, Psychology, Community Structure, Data mining, modularity, Data Clustering Techniques and Algorithms, Computational intelligence, Community detection, Pure mathematics, random walks, Statistical and Nonlinear Physics, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Psychology, Computational complexity theory, Algorithm, Physics and Astronomy, networks, Electronic computers. Computer science, Physical Sciences, Computer Science, 8. Economic growth, Statistical Mechanics of Complex Networks, Laplacian, Density-based Clustering, Mathematics

Přístupová URL adresa: https://doaj.org/article/b721308f8e25405593a9c1fcc51cfabd

Enhancing Subcluster Identification in IoT Sensor Networks with Hierarchical Clustering Algorithms and Dendrograms

Autoři: Fuad Bajaber

Zdroj: 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS). :459-464

A Role of Hierarchical Clustering Algorithms in Wireless Sensor Networks -A Review

Autoři: Rachit Manchanda Shonak Bansal

Zdroj: 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES). :1064-1068

Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms

Autoři: Chukwutem Pinic Ufeli Mian Usman Sattar Raza Hasan a další

Zdroj: Information, Vol 16, Iss 6, p 441 (2025)
Ufeli, C P, Sattar, M U, Hasan, R & Mahmood, S 2025, 'Enhancing customer segmentation through factor analysis of mixed data (FAMD)-based approach using K-Means and hierarchical clustering algorithms', Information, vol. 16, no. 6, pp. 441. https://doi.org/10.3390/info16060441

Témata: customer segmentation, silhouette score, FAMD, mixed data analysis, Information technology, T58.5-58.64, K-means, agglomerative clustering

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/ac288e59c21847aaa01aea6e2b72d375
https://pure.solent.ac.uk/ws/files/71483811/information-16-00441-v2.pdf
https://hdl.handle.net/3e5cb82-e084-4119-be7b-918fc51e132d

Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms.

Autoři: Behzadidoost, Rashid Izadkhah, Habib

Zdroj: Journal of Classification. Jul2025, Vol. 42 Issue 2, p457-489. 33p.

Témata: *Cluster analysis (Statistics), *Data analysis, Hierarchical clustering (Cluster analysis), Clustering algorithms, Decision making, Cross-entropy method

Comprehensive survey on hierarchical clustering algorithms and the recent developments

Autoři: Xingcheng Ran Yue Xi Yonggang Lu a další

Zdroj: Artificial Intelligence Review. 56:8219-8264

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

Chinese provincial power consumption convergence features based on CEEMDAN hierarchical clustering algorithms

Autoři: Qiujie Sun Zhou Lan Fenghua Wang a další

Zdroj: 2022 4th International Academic Exchange Conference on Science and Technology Innovation (IAECST). :522-526

An Enhancement of Hierarchical Clustering Algorithms

Autoři: Sultan Abdullah Alatawi Nazar Elfadil Mohamed

Zdroj: International Journal of Science and Research (IJSR). 11:871-882

CLASSIFICATION OF LIQUIDS USING A PATCH ANTENNA AND HIERARCHICAL CLUSTERING ALGORITHMS

Autoři: Ebru EFEOĞLU Gürkan TUNA

Zdroj: Volume: 7, Issue: 2 40-44
Mugla Journal of Science and Technology

Témata: Engineering, Mühendislik, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0210 nano-technology, Distance metrics, Hazardous liquids, Hierarchical clustering, Linkage methods, Patch antenna

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/en/download/article-file/1765090
https://hdl.handle.net/20.500.14551/12857
https://doi.org/10.22531/muglajsci.936406
https://search.trdizin.gov.tr/yayin/detay/499556
https://dergipark.org.tr/tr/pub/muglajsci/issue/65497/936406

Mapping of Regional-scale Multi-element Geochemical Anomalies Using Hierarchical Clustering Algorithms

Autoři: Hamid Geranian Emmanuel John M. Carranza

Zdroj: Natural Resources Research. 31:1841-1865

Témata: 15. Life on land, 01 natural sciences, 6. Clean water, 0105 earth and related environmental sciences

Přístupová URL adresa: https://link.springer.com/article/10.1007/s11053-021-09879-5

Contribution to the knowledge of hierarchical clustering algorithms and consensus clustering. Studies applied to personal recognition by hands biometrics

Autoři: Sousa, Lúcia Gama, João Faceli, Katti a další

Přispěvatelé: Sousa, Lúcia Gama, João Faceli, Katti a další

Témata: Clustering; Consensus; hand biometrics

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10400.19/2933

Contribution to the Knowledge of the hierarchical clustering algorithms and consensus clustering. Studies applied to the personal recognition by hand ´s biometrics

Autoři: Lúcia de Paiva Martins de Sousa

Témata: Matemática, Mathematics

Popis souboru: application/pdf

Dostupnost: https://hdl.handle.net/10216/79189

Analyzing Electoral Data Using Partitional and Hierarchical Clustering Algorithms

Autoři: Paulo Rogerio Nietto Maria do Carmo Nicoletti Nilton Cesar Sacco

Zdroj: Lecture Notes in Networks and Systems ISBN: 9783031274398

Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms.

Autoři: Ufeli, Chukwutem Pinic Sattar, Mian Usman Hasan, Raza a další

Zdroj: Information. Jun2025, Vol. 16 Issue 6, p441. 25p.

Témata: *Factor analysis, *Cluster analysis (Statistics), K-means clustering, Statistical correlation, Data analytics