Силует (кластеризація) (Ukrainian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Силует (кластеризація)" in Ukrainian language version.

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archive.org

Peter J. Rousseeuw (1987). Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis. Computational and Applied Mathematics. 20: 53—65. doi:10.1016/0377-0427(87)90125-7.
Leonard Kaufman; Peter J. Rousseeuw (1990). Finding groups in data : An introduction to cluster analysis. Hoboken, NJ: Wiley-Interscience. с. 87. doi:10.1002/9780470316801. ISBN 9780471878766.

arxiv.org

R.C. de Amorim, C. Hennig (2015). Recovering the number of clusters in data sets with noise features using feature rescaling factors. Information Sciences. 324: 126—145. arXiv:1602.06989. doi:10.1016/j.ins.2015.06.039. S2CID 315803.

doi.org

Peter J. Rousseeuw (1987). Silhouettes: a Graphical Aid to the Interpretation and Validation of Cluster Analysis. Computational and Applied Mathematics. 20: 53—65. doi:10.1016/0377-0427(87)90125-7.
R.C. de Amorim, C. Hennig (2015). Recovering the number of clusters in data sets with noise features using feature rescaling factors. Information Sciences. 324: 126—145. arXiv:1602.06989. doi:10.1016/j.ins.2015.06.039. S2CID 315803.
Leonard Kaufman; Peter J. Rousseeuw (1990). Finding groups in data : An introduction to cluster analysis. Hoboken, NJ: Wiley-Interscience. с. 87. doi:10.1002/9780470316801. ISBN 9780471878766.
Hruschka, E.R.; de Castro, L.N.; Campello, R.J.G.B. (2004). Evolutionary Algorithms for Clustering Gene-Expression Data. Fourth IEEE International Conference on Data Mining (ICDM'04). IEEE. с. 403—406. doi:10.1109/ICDM.2004.10073.
Van der Laan, Mark; Pollard, Katherine; Bryan, Jennifer (2003). A new partitioning around medoids algorithm. Journal of Statistical Computation and Simulation (англ.). 73 (8): 575—584. doi:10.1080/0094965031000136012. ISSN 0094-9655.
Lenssen, Lars; Schubert, Erich (2022). Clustering by Direct Optimization of the Medoid Silhouette. International Conference on Similarity Search and Applications (англ.). с. 190—204. doi:10.1007/978-3-031-17849-8_15. Процитовано 20 жовтня 2022.
Batool, Fatima; Hennig, Christian (2021). Clustering with the Average Silhouette Width. Computational Statistics & Data Analysis (англ.). 158: 107190. doi:10.1016/j.csda.2021.107190.

elsevier.com

linkinghub.elsevier.com

Batool, Fatima; Hennig, Christian (2021). Clustering with the Average Silhouette Width. Computational Statistics & Data Analysis (англ.). 158: 107190. doi:10.1016/j.csda.2021.107190.

ieee.org

ieeexplore.ieee.org

Hruschka, E.R.; de Castro, L.N.; Campello, R.J.G.B. (2004). Evolutionary Algorithms for Clustering Gene-Expression Data. Fourth IEEE International Conference on Data Mining (ICDM'04). IEEE. с. 403—406. doi:10.1109/ICDM.2004.10073.

semanticscholar.org

api.semanticscholar.org

R.C. de Amorim, C. Hennig (2015). Recovering the number of clusters in data sets with noise features using feature rescaling factors. Information Sciences. 324: 126—145. arXiv:1602.06989. doi:10.1016/j.ins.2015.06.039. S2CID 315803.

springer.com

link.springer.com

Lenssen, Lars; Schubert, Erich (2022). Clustering by Direct Optimization of the Medoid Silhouette. International Conference on Similarity Search and Applications (англ.). с. 190—204. doi:10.1007/978-3-031-17849-8_15. Процитовано 20 жовтня 2022.

tandfonline.com

Van der Laan, Mark; Pollard, Katherine; Bryan, Jennifer (2003). A new partitioning around medoids algorithm. Journal of Statistical Computation and Simulation (англ.). 73 (8): 575—584. doi:10.1080/0094965031000136012. ISSN 0094-9655.

worldcat.org

search.worldcat.org

Van der Laan, Mark; Pollard, Katherine; Bryan, Jennifer (2003). A new partitioning around medoids algorithm. Journal of Statistical Computation and Simulation (англ.). 73 (8): 575—584. doi:10.1080/0094965031000136012. ISSN 0094-9655.