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Efficient algorithms for agglomerative hierarchical clustering methods

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  • William Day
  • Herbert Edelsbrunner

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Suggested Citation

  • William Day & Herbert Edelsbrunner, 1984. "Efficient algorithms for agglomerative hierarchical clustering methods," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 7-24, December.
    • Handle: RePEc:spr:jclass:v:1:y:1984:i:1:p:7-24
    DOI: 10.1007/BF01890115
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    References listed on IDEAS

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    1. J. C. Gower & G. J. S. Ross, 1969. "Minimum Spanning Trees and Single Linkage Cluster Analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 18(1), pages 54-64, March.
    2. Vladimir Batagelj, 1981. "Note on ultrametric hierarchical clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 46(3), pages 351-352, September.
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    Cited by:

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    2. Cho, Catherine & Kim, Sooyoung & Lee, Jaewook & Lee, Dae-Won, 2006. "A tandem clustering process for multimodal datasets," European Journal of Operational Research, Elsevier, vol. 168(3), pages 998-1008, February.
    3. Ji, Yuxuan & Geroliminis, Nikolas, 2012. "On the spatial partitioning of urban transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1639-1656.
    4. Claudiu Vinte & Marcel Ausloos, 2022. "The Cross-Sectional Intrinsic Entropy. A Comprehensive Stock Market Volatility Estimator," Papers 2205.00104, arXiv.org.
    5. Lerato Lerato & Thomas Niesler, 2015. "Clustering Acoustic Segments Using Multi-Stage Agglomerative Hierarchical Clustering," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-24, October.
    6. Zhang, Xiaolei & Ren, Yibin & Huang, Baoxiang & Han, Yong, 2018. "Analysis of time-varying characteristics of bus weighted complex network in Qingdao based on boarding passenger volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 376-394.
    7. Alberto Fernández & Sergio Gómez, 2020. "Versatile Linkage: a Family of Space-Conserving Strategies for Agglomerative Hierarchical Clustering," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 584-597, October.
    8. Potoniec, Jedrzej & Sroka, Daniel & Pawlak, Tomasz P., 2022. "Continuous discovery of Causal nets for non-stationary business processes using the Online Miner," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1304-1320.
    9. C. Finden & A. Gordon, 1985. "Obtaining common pruned trees," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 255-276, December.
    10. Mirko Křivánek, 1986. "Computing the nearest neighbor interchange metric for unlabeled binary trees is NP-complete," Journal of Classification, Springer;The Classification Society, vol. 3(1), pages 55-60, March.
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    13. Chen, James Ming & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Clustering commodity markets in space and time: Clarifying returns, volatility, and trading regimes through unsupervised machine learning," Resources Policy, Elsevier, vol. 73(C).
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    15. Nicholas J Ose & Brandon M Butler & Avishek Kumar & I Can Kazan & Maxwell Sanderford & Sudhir Kumar & S Banu Ozkan, 2022. "Dynamic coupling of residues within proteins as a mechanistic foundation of many enigmatic pathogenic missense variants," PLOS Computational Biology, Public Library of Science, vol. 18(4), pages 1-22, April.
    16. Costas Panagiotakis, 2015. "Point Clustering via Voting Maximization," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 212-240, July.
    17. Yimei Wang & Yongqian Liu & Li Li & David Infield & Shuang Han, 2018. "Short-Term Wind Power Forecasting Based on Clustering Pre-Calculated CFD Method," Energies, MDPI, vol. 11(4), pages 1-19, April.
    18. William Day & Herbert Edelsbrunner, 1985. "Investigation of proportional link linkage clustering methods," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 239-254, December.
    19. Baschieri, Giulia & Carosi, Andrea & Mengoli, Stefano, 2015. "Local IPOs, local delistings, and the firm location premium," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 67-83.
    20. Sandra Mayr & Fabian Hauser & Sujitha Puthukodan & Markus Axmann & Janett Göhring & Jaroslaw Jacak, 2020. "Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-34, June.
    21. Cheng-Chun Lee & Mikel Maron & Ali Mostafavi, 2022. "Community-scale big data reveals disparate impacts of the Texas winter storm of 2021 and its managed power outage," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    22. Monika Khandelwal & Sabha Sheikh & Ranjeet Kumar Rout & Saiyed Umer & Saurav Mallik & Zhongming Zhao, 2022. "Unsupervised Learning for Feature Representation Using Spatial Distribution of Amino Acids in Aldehyde Dehydrogenase (ALDH2) Protein Sequences," Mathematics, MDPI, vol. 10(13), pages 1-20, June.
    23. Quan Gan & Wang Chun Wei & David Johnstone, 2015. "A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1805-1821, November.
    24. Qiufang Shi & Xiaoyong Yan & Bin Jia & Ziyou Gao, 2020. "Freight Data-Driven Research on Evaluation Indexes for Urban Agglomeration Development Degree," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    25. Taneja, Anu & Arora, Anuja, 2019. "Modeling user preferences using neural networks and tensor factorization model," International Journal of Information Management, Elsevier, vol. 45(C), pages 132-148.

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