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Clustering in an Object-Oriented Environment

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  • Struyf, Anja
  • Hubert, Mia
  • Rousseeuw, Peter

Abstract

This paper describes the incorporation of seven stand-alone clustering programs into S-PLUS, where they can now be used in a much more flexible way. The original Fortran programs carried out new cluster analysis algorithms introduced in the book of Kaufman and Rousseeuw (1990). These clustering methods were designed to be robust and to accept dissimilarity data as well as objects-by-variables data. Moreover, they each provide a graphical display and a quality index reflecting the strength of the clustering. The powerful graphics of S-PLUS made it possible to improve these graphical representations considerably. The integration of the clustering algorithms was performed according to the object-oriented principle supported by S-PLUS. The new functions have a uniform interface, and are compatible with existing S-PLUS functions. We will describe the basic idea and the use of each clustering method, together with its graphical features. Each function is briefly illustrated with an example.

Suggested Citation

  • Struyf, Anja & Hubert, Mia & Rousseeuw, Peter, 1997. "Clustering in an Object-Oriented Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 1(i04).
    • Handle: RePEc:jss:jstsof:v:001:i04
    DOI: http://hdl.handle.net/10.18637/jss.v001.i04
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    Cited by:

    1. Tommaso Agasisti & Francesca Ieva & Anna Maria Paganoni, 2017. "Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(1), pages 157-180, March.
    2. Jörg Weking & Andreas Hein & Markus Böhm & Helmut Krcmar, 2020. "A hierarchical taxonomy of business model patterns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 447-468, September.
    3. Renato Cordeiro Amorim & Vladimir Makarenkov & Boris Mirkin, 2020. "Core Clustering as a Tool for Tackling Noise in Cluster Labels," Journal of Classification, Springer;The Classification Society, vol. 37(1), pages 143-157, April.
    4. Wen, Xuanhao & Cao, Huajun & Li, Hongcheng & Zheng, Jie & Ge, Weiwei & Chen, Erheng & Gao, Xi & Hon, Bernard, 2022. "A dual energy benchmarking methodology for energy-efficient production planning and operation of discrete manufacturing systems using data mining techniques," Energy, Elsevier, vol. 255(C).
    5. Ma, Zhenjun & Yan, Rui & Nord, Natasa, 2017. "A variation focused cluster analysis strategy to identify typical daily heating load profiles of higher education buildings," Energy, Elsevier, vol. 134(C), pages 90-102.
    6. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    7. Jesus Gonzalez-Feliu & Joelle Morana & Josep-Maria Salanova Grau & Tai-Yu Ma, 2013. "Design And Scenario Assessment For Collaborative Logistics And Freight Transport Systems," Articles, International Journal of Transport Economics, vol. 40(2).
    8. Frederickson Entila & Xiaowei Han & Akira Mine & Paul Schulze-Lefert & Kenichi Tsuda, 2024. "Commensal lifestyle regulated by a negative feedback loop between Arabidopsis ROS and the bacterial T2SS," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    9. Alexander Platzer, 2013. "Visualization of SNPs with t-SNE," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-6, February.
    10. Hornik, Kurt, 2005. "A CLUE for CLUster Ensembles," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i12).
    11. Beata Gavurova & Ladislav Suhanyi & Martin Rigelský, 2020. "Tourist spending and productivity of economy in OECD countries – research on perspectives of sustainable tourism," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 983-1000, September.
    12. Albrecht Kauffmann, 2011. "Wirkung kommunaler Investitionen in die Tourismusinfrastruktur am Beispiel Sachsens," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 31(1), pages 57-73, June.
    13. Mohiuddin Ahmed, 2018. "Collective Anomaly Detection Techniques for Network Traffic Analysis," Annals of Data Science, Springer, vol. 5(4), pages 497-512, December.
    14. Kauffmann, Albrecht, 2012. "Delineation of City Regions Based on Commuting Interrelations: The Example of Large Cities in Germany," IWH Discussion Papers 4/2012, Halle Institute for Economic Research (IWH).
    15. Kim, Jaejik & Billard, L., 2011. "A polythetic clustering process and cluster validity indexes for histogram-valued objects," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2250-2262, July.
    16. Jörg Weking & Michael Mandalenakis & Andreas Hein & Sebastian Hermes & Markus Böhm & Helmut Krcmar, 2020. "The impact of blockchain technology on business models – a taxonomy and archetypal patterns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 285-305, June.

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