Academic literature on the topic 'Variables clustering'
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Journal articles on the topic "Variables clustering"
Perricone, Chiara. "Clustering macroeconomic variables." Structural Change and Economic Dynamics 44 (March 2018): 23–33. http://dx.doi.org/10.1016/j.strueco.2018.02.001.
Full textHathaway, Richard J. "Clustering Random Variables." IETE Journal of Research 44, no. 4-5 (1998): 199–205. http://dx.doi.org/10.1080/03772063.1998.11416046.
Full textChen, Mingkun, and Evelyne Vigneau. "Supervised clustering of variables." Advances in Data Analysis and Classification 10, no. 1 (2014): 85–101. http://dx.doi.org/10.1007/s11634-014-0191-5.
Full textZhang, Hongmei, Yubo Zou, Will Terry, Wilfried Karmaus, and Hasan Arshad. "Joint Clustering With Correlated Variables." American Statistician 73, no. 3 (2018): 296–306. http://dx.doi.org/10.1080/00031305.2018.1424033.
Full textRubiano Moreno, Jesica, Carlos Alonso Malaver, Samuel Nucamendi Guillén, and Carlos López Hernández. "A clustering algorithm for ipsative variables." DYNA 86, no. 211 (2019): 94–101. http://dx.doi.org/10.15446/dyna.v86n211.77835.
Full textForina, M., C. Armanino, and V. Raggio. "Clustering with dendrograms on interpretation variables." Analytica Chimica Acta 454, no. 1 (2002): 13–19. http://dx.doi.org/10.1016/s0003-2670(01)01517-3.
Full textSaracco, J., and M. Chavent. "Clustering of Variables for Mixed Data." EAS Publications Series 77 (2016): 121–69. http://dx.doi.org/10.1051/eas/1677007.
Full textHuh, Myung-Hoe, and Yong B. Lim. "Weighting variables in K-means clustering." Journal of Applied Statistics 36, no. 1 (2008): 67–78. http://dx.doi.org/10.1080/02664760802382533.
Full textVigneau, E., and E. M. Qannari. "Clustering of Variables Around Latent Components." Communications in Statistics - Simulation and Computation 32, no. 4 (2003): 1131–50. http://dx.doi.org/10.1081/sac-120023882.
Full textGhizlane, Ez-Zarrad, Sabbar Wafae, and Bekkhoucha Abdelkrim. "Features Clustering Around Latent Variables for High Dimensional Data." E3S Web of Conferences 297 (2021): 01070. http://dx.doi.org/10.1051/e3sconf/202129701070.
Full textDissertations / Theses on the topic "Variables clustering"
Chang, Soong Uk. "Clustering with mixed variables /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19086.pdf.
Full textEndrizzi, Isabella <1975>. "Clustering of variables around latent components: an application in consumer science." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/667/1/Tesi_Endrizzi_Isabella.pdf.
Full textEndrizzi, Isabella <1975>. "Clustering of variables around latent components: an application in consumer science." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/667/.
Full textSaraiya, Devang. "The Impact of Environmental Variables in Efficiency Analysis: A fuzzy clustering-DEA Approach." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/34637.
Full textDean, Nema. "Variable selection and other extensions of the mixture model clustering framework /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/8943.
Full textDoan, Nath-Quang. "Modèles hiérarchiques et topologiques pour le clustering et la visualisation des données." Paris 13, 2013. http://scbd-sto.univ-paris13.fr/secure/edgalilee_th_2013_doan.pdf.
Full textNdaoud, Mohamed. "Contributions to variable selection, clustering and statistical estimation inhigh dimension." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLG005.
Full textNaik, Vaibhav C. "Fuzzy C-means clustering approach to design a warehouse layout." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000437.
Full textNdaoud, Mohamed. "Contributions to variable selection, clustering and statistical estimation inhigh dimension." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLG005/document.
Full textGiacofci, Joyce. "Classification non supervisée et sélection de variables dans les modèles mixtes fonctionnels. Applications à la biologie moléculaire." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM025/document.
Full textBooks on the topic "Variables clustering"
Kessler, Ronald C. Trauma and PTSD in the United States. Edited by Charles B. Nemeroff and Charles R. Marmar. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190259440.003.0007.
Full textVariable Clustering Methods and Applications in Portfolio Selection. [publisher not identified], 2021.
Find full textBawa, Sandeep, Paul Wordsworth, and Inoshi Atukorala. Spondyloarthropathies. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.010004.
Full textJames, Gareth. Sparseness and functional data analysis. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.11.
Full textBook chapters on the topic "Variables clustering"
Abdesselam, Rafik. "A Topological Clustering of Individuals." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_1.
Full textSteinley, Douglas. "Standardizing Variables in K-means Clustering." In Classification, Clustering, and Data Mining Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_6.
Full textCantaluppi, Gabriele, and Marco Passarotti. "Clustering the Corpus of Seneca: A Lexical-Based Approach." In Advances in Latent Variables. Springer International Publishing, 2014. http://dx.doi.org/10.1007/10104_2014_6.
Full textCouturier, Raphaël, Régis Gras, and Fabrice Guillet. "Reducing the Number of Variables Using Implicative Analysis." In Classification, Clustering, and Data Mining Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_27.
Full textda Silva, Ana Lorga, Helena Bacelar-Nicolau, and Gilbert Saporta. "Missing Data in Hierarchical Classification of Variables — a Simulation Study." In Classification, Clustering, and Data Analysis. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8_13.
Full textDi Nuzzo, Cinzia, and Salvatore Ingrassia. "Three-Way Spectral Clustering." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_13.
Full textSilva, Ana Lorga, Gilbert Saporta, and Helena Bacelar-Nicolau. "Missing Data and Imputation Methods in Partition of Variables." In Classification, Clustering, and Data Mining Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_59.
Full textMballo, Chérif, and Edwin Diday. "Kolmogorov-Smirnov for Decision Trees on Interval and Histogram Variables." In Classification, Clustering, and Data Mining Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17103-1_33.
Full textAdjenughwure, Kingsley S., George N. Botzoris, and Basil K. Papadopoulos. "Clustering Variables Based on Fuzzy Equivalence Relations." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19704-3_18.
Full textHardy, André, and Pascale Lallemand. "Determination of the Number of Clusters for Symbolic Objects Described by Interval Variables." In Classification, Clustering, and Data Analysis. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56181-8_34.
Full textConference papers on the topic "Variables clustering"
Ha, Sungdo, and Emanuel Sachs. "Categories of process variables: robustness optimization, uniformity tuning, and mean adjustment." In Process Module Metrology, Control and Clustering, edited by Cecil J. Davis, Irving P. Herman, and Terry R. Turner. SPIE, 1992. http://dx.doi.org/10.1117/12.56636.
Full textGrinshpoun, Tal. "Clustering Variables by Their Agents." In 2015 IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015. http://dx.doi.org/10.1109/wi-iat.2015.65.
Full textFerguson, Mark, Sam Devlin, Daniel Kudenko, and James Alfred Walker. "Player Style Clustering without Game Variables." In FDG '20: International Conference on the Foundations of Digital Games. ACM, 2020. http://dx.doi.org/10.1145/3402942.3402960.
Full textYAN, Jian-Jun, Zhuo-Long WANG, Guo-Ping LIU, Zong-Jie HU, Yi-Qin WANG, and Rui GUO. "Establishment of Bayesian Networks with Latent Variables Based on Variable Clustering." In 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016). WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789813206823_0070.
Full textSato-Ilic, Mika. "Weighted fuzzy clustering on subsets of variables." In 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA). IEEE, 2007. http://dx.doi.org/10.1109/isspa.2007.4555525.
Full textRodriguez, Sara Ines Rizo, and Francisco de Assis Tenorio de Carvalho. "Clustering interval-valued data with automatic variables weighting." In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8852220.
Full textHunyadi, Levente, and Istvan Vajk. "Identification of errors-in-variables systems using data clustering." In 2008 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2008. http://dx.doi.org/10.1109/iwssip.2008.4604401.
Full textOh, C. H., H. Komatsu, K. Honda, and H. Ichihashi. "Fuzzy clustering algorithm extracting principal components independent of subsidiary variables." In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, 2000. http://dx.doi.org/10.1109/ijcnn.2000.861333.
Full textMinh, Nguyen Van, and Le Hoang Son. "Fuzzy Approaches to Context Variables in Fuzzy Geographically Weighted Clustering." In Second International Conference on Information Technology, Control, Chaos, Modeling and Applications. Academy & Industry Research Collaboration Center (AIRCC), 2015. http://dx.doi.org/10.5121/csit.2015.50503.
Full textTolner, Ferenc, Sandor Fegyverneki, Gyorgy Eigner, and Balazs Barta. "Clustering based on Preferences with K-modes using Categorical Variables." In 2021 IEEE 19th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2021. http://dx.doi.org/10.1109/sisy52375.2021.9582485.
Full textReports on the topic "Variables clustering"
Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2011.
Full textWeijters, Bert. Cluster Analysis in R: From Theory to Practice. Instats Inc., 2023. http://dx.doi.org/10.61700/3xjho79mx2fc0706.
Full textRaykov, Tenko. Latent Class Analysis and Mixture Modeling. Instats Inc., 2023. http://dx.doi.org/10.61700/tkd5fah8evykd469.
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