Relevant bibliographies by topics / Clustering en ligne

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Clustering en ligne'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Clustering en ligne"

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Bouguettaya, A. "On-line clustering." IEEE Transactions on Knowledge and Data Engineering 8, no. 2 (1996): 333–39. http://dx.doi.org/10.1109/69.494170.

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FANG, LI ZHI. "QUASAR CLUSTERING AND ITS COSMOLOGICAL IMPLICATION." International Journal of Modern Physics A 04, no. 14 (1989): 3477–502. http://dx.doi.org/10.1142/s0217751x89001394.

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The clusterings of quasars and absorption line clouds have been analyzed from the viewpoint of the structure formation of the universe. It was found that the features of quasar clustering are quite different from those of galaxies. These results have already given several meaningful constraints on the structure formation, as follows: (a) quasar clustering is much weaker than in galaxies; (b) large scale structures, such as superclusters, should probably be formed after the epoch z~2; (c) the amplitude of the total density inhomogeneity seems to be less than that of galaxy distribution by at le
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El-Sonbaty, Yasser, and M. A. Ismail. "On-line hierarchical clustering." Pattern Recognition Letters 19, no. 14 (1998): 1285–91. http://dx.doi.org/10.1016/s0167-8655(98)00104-4.

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Mańka-Krasoń, Anna, Advera Mwijage, and Krzysztof Kułakowski. "Clustering in random line graphs." Computer Physics Communications 181, no. 1 (2010): 118–21. http://dx.doi.org/10.1016/j.cpc.2009.09.010.

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McLean, G. F., and D. Kotturi. "Vanishing point detection by line clustering." IEEE Transactions on Pattern Analysis and Machine Intelligence 17, no. 11 (1995): 1090–95. http://dx.doi.org/10.1109/34.473236.

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Inui, Kentaro, Shun'ichi Kaneko, and Satoru Igarashi. "Robust line fitting using LMedS clustering." Systems and Computers in Japan 34, no. 14 (2003): 92–100. http://dx.doi.org/10.1002/scj.1225.

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Younis, O., and S. Fahmy. "FlowMate: scalable on-line flow clustering." IEEE/ACM Transactions on Networking 13, no. 2 (2005): 288–301. http://dx.doi.org/10.1109/tnet.2005.845532.

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Butler, Ronald W. "Optimal clustering on the real line." Journal of Multivariate Analysis 24, no. 1 (1988): 88–108. http://dx.doi.org/10.1016/0047-259x(88)90104-2.

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Yu, Won Pil, Gil Whoan Chu, and Myung Jin Chung. "A robust line extraction method by unsupervised line clustering." Pattern Recognition 32, no. 4 (1999): 529–46. http://dx.doi.org/10.1016/s0031-3203(98)00100-9.

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Kim, Seong-Jun, Byung Hak Choe, and Woosik Kim. "A Prediction Method of the Gas Pipeline Failure Using In-line Inspection and Corrosion Defect Clustering." Journal of Korean Institute of Intelligent Systems 24, no. 6 (2014): 651–56. http://dx.doi.org/10.5391/jkiis.2014.24.6.651.

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Dissertations / Theses on the topic "Clustering en ligne"

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Harrak, Fatima. "Analyse de questions d’apprenants et de profils associés dans des environnements en ligne." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS115.

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Les questions des élèves sont utiles pour leur apprentissage et l'adaptation pédagogique des enseignants. Cependant, le volume de questions posées en ligne par les étudiants peut empêcher les enseignants de traiter chaque question (e.g. MOOC ou large cohorte universitaire). Nous abordons cette problématique principalement dans le cadre d’une formation hybride dans lequel chaque semaine les étudiants posent des questions en ligne, selon une approche de classe inversée, pour aider les enseignants à préparer leur séances de questions-réponses en présentiel. Notre objectif est d’outiller l’enseign
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Li, Jinpeng. "Extraction de connaissances symboliques et relationnelles appliquée aux tracés manuscrits structurés en-ligne." Phd thesis, Nantes, 2012. http://tel.archives-ouvertes.fr/tel-00785984.

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Notre travail porte sur l'extraction de connaissances sur des langages graphiques dont les symboles sont a priori inconnus. Nous formons l'hypothèse que l'observation d'une grande quantité de documents doit permettre de découvrir les symboles composant l'alphabet du langage considéré. La difficulté du problème réside dans la nature bidimensionnelle et manuscrite des langages graphiques étudiés. Nous nous plaçons dans le cadre de tracés en-ligne produit par des interfaces de saisie de type écrans tactiles, tableaux interactifs ou stylos électroniques. Le signal disponible est alors une trajecto
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Li, Le. "Online stochastic algorithms." Thesis, Angers, 2018. http://www.theses.fr/2018ANGE0031.

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Cette thèse travaille principalement sur trois sujets. Le premier concentre sur le clustering en ligne dans lequel nous présentons un nouvel algorithme stochastique adaptatif pour regrouper des ensembles de données en ligne. Cet algorithme repose sur l'approche quasi-bayésienne, avec une estimation dynamique (i.e., dépendant du temps) du nombre de clusters. Nous prouvons que cet algorithme atteint une borne de regret de l'ordre et que cette borne est asymptotiquement minimax sous la contrainte sur le nombre de clusters. Nous proposons aussi une implémentation par RJMCMC. Le deuxième sujet est
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Bianne, Bernard Anne-Laure. "Reconnaissance de mots manuscrits cursifs par modèles de Markov cachés en contexte : application au français, à l'anglais et à l'arabe." Phd thesis, Télécom ParisTech, 2011. http://pastel.archives-ouvertes.fr/pastel-00656402.

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L'objectif de cette thèse est d'élaborer un système de reconnaissance de mots manuscrits pouvant être appris et appliqué sur différents styles d'écriture. L'approche utilisée est une approche analytique: les mots sont découpés en sous-parties (caractères) à modéliser. Le découpage est effectué de manière implicite par l'utilisation de fenêtres glissantes qui permettent de transformer les images de mots en séquences. La méthode choisie pour apprendre les modèles de caractères utilise les modèles de Markov cachés (HMMs). Chaque caractère est représenté par un HMM de type Bakis, ce qui permet d'a
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Ghenname, Mérième. "Le web social et le web sémantique pour la recommandation de ressources pédagogiques." Thesis, Saint-Etienne, 2015. http://www.theses.fr/2015STET4015/document.

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Ce travail de recherche est conjointement effectué dans le cadre d’une cotutelle entre deux universités : en France l’Université Jean Monnet de Saint-Etienne, laboratoire Hubert Curien sous la supervision de Mme Frédérique Laforest, M. Christophe Gravier et M. Julien Subercaze, et au Maroc l’Université Mohamed V de Rabat, équipe LeRMA sous la supervision de Mme Rachida Ajhoun et Mme Mounia Abik. Les connaissances et les apprentissages sont des préoccupations majeures dans la société d’aujourd’hui. Les technologies de l’apprentissage humain visent à promouvoir, stimuler, soutenir et valider le
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Médoc, Nicolas. "A visual analytics approach for multi-resolution and multi-model analysis of text corpora : application to investigative journalism." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB042/document.

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À mesure que la production de textes numériques croît exponentiellement, un besoin grandissant d’analyser des corpus de textes se manifeste dans beaucoup de domaines d’application, tant ces corpus constituent des sources inépuisables d’information et de connaissance partagées. Ainsi proposons-nous dans cette thèse une nouvelle approche de visualisation analytique pour l’analyse de corpus textuels, mise en œuvre pour les besoins spécifiques du journalisme d’investigation. Motivées par les problèmes et les tâches identifiés avec une journaliste d’investigation professionnelle, les visualisations
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Borch, Hans Olaf. "On-Line Clustering of Web Search Results." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10125.

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<p>Clustering in a data mining setting has been researched for decades. Lately, document clustering used to cluster web search engine results have recieved much attention. Large companies such as Google and Microsoft have shown their interest and we have seen the emergence of commercial clustering engines such as Vivisimo. This thesis shows how a search engine with clustering capabilities can be developed. The approach described has been implemented as a working prototype that allows searching and browsing clusters through a web interface. The prototype has been evaluated in a user survey and
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Khy, Sophoin, Yoshiharu Ishikawa, and Hiroyuki Kitagawa. "Novelty-based Incremental Document Clustering for On-line Documents." IEEE, 2006. http://hdl.handle.net/2237/7520.

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Khy, Sophoin, Yoshiharu Ishikawa, and Hiroyuki Kitagawa. "A Novelty-based Clustering Method for On-line Documents." Springer, 2007. http://hdl.handle.net/2237/7739.

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Passmoor, Sean Stuart. "Clustering studies of radio-selected galaxies." Thesis, University of the Western Cape, 2011. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_7521_1332410859.

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<p>We investigate the clustering of HI-selected galaxies in the ALFALFA survey and compare results with those obtained for HIPASS. Measurements of the angular correlation function and the inferred 3D-clustering are compared with results from direct spatial-correlation measurements. We are able to measure clustering on smaller angular scales and for galaxies with lower HI masses than was previously possible. We calculate the expected clustering of dark matter using the redshift distributions of HIPASS and ALFALFA and show that the ALFALFA sample is somewhat more anti-biased with respect to dark
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Book chapters on the topic "Clustering en ligne"

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Petitjean, Patrick. "Clustering of Absorption Line Systems." In The Early Universe with the VLT. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-540-49709-7_32.

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Ibrahim, Omar A., Yizhuo Du, and James Keller. "Robust On-Line Streaming Clustering." In Communications in Computer and Information Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91473-2_40.

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Lemaire, V., and F. Clérot. "The Many Faces of a Kohonen Map A Case Study: SOM-based Clustering for On-Line Fraud Behavior Classification." In Classification and Clustering for Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11011620_1.

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Bandyopadhyay, Sanghamitra, and Sriparna Saha. "Some Line Symmetry Distance-Based Clustering Techniques." In Unsupervised Classification. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32451-2_8.

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Qiao, Xinxu, He Zhu, and Weiping Li. "Scene Text Detection with Adaptive Line Clustering." In Lecture Notes in Computer Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46604-0_27.

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Francis, Paul, and Shoba Veeraraghavan. "The Clustering of QSO Absorption-Line Systems." In QSO Absorption Lines. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-540-49458-4_75.

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Zhang, Hui, Guo-hui Li, and Xin-wen Xu. "A On-Line News Documents Clustering Method." In Active Media Technology. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35236-2_9.

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Balzanella, Antonio, Yves Lechevallier, and Rosanna Verde. "Clustering Data Streams by On-Line Proximity Updating." In Classification and Data Mining. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28894-4_12.

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Bodyanskiy, Yevgeniy, and Oleksii Didyk. "On-line Robust Fuzzy Clustering for Anomalies Detection." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91008-6_40.

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Idrus, Zainura, Zanariah Idrus, Siti Zaleha Zainal Abidin, Nasiroh Omar, and Nur Syamimi Aziah Mohamat Sofee. "Geovisualization of Nonresident Students’ Tabulation Using Line Clustering." In Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016). Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0074-5_9.

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Conference papers on the topic "Clustering en ligne"

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Parten, Michael E., R. R. Rhinehart, and Vikram Singh. "On-line process-model-based control of a plasma etcher." 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/10.1117/12.56639.

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Maglione, Enrico. "Proton emission from drip-line nuclei." In EXOTIC CLUSTERING: 4th Catania Relativistic Ion Studies CRIS 2002. AIP, 2002. http://dx.doi.org/10.1063/1.1522970.

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Ravi, V., E. R. Srinivas, and N. K. Kasabov. "On-Line Evolving Fuzzy Clustering." In International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iccima.2007.111.

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Barla, Pascal, Joëlle Thollot, and François X. Sillion. "Geometric clustering for line drawing simplification." In ACM SIGGRAPH 2005 Sketches. ACM Press, 2005. http://dx.doi.org/10.1145/1187112.1187227.

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Pointner, Andreas, Christoph Praschl, Oliver Krauss, Andreas Schuler, Emmanuel Helm, and Gerald Zwettler. "Line Clustering and Contour Extraction in the Context of 2D Building Plans." In WSCG'2021 - 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021. Západočeská univerzita, 2021. http://dx.doi.org/10.24132/csrn.2021.3101.2.

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For the purpose of analyzing a building according to its accessibility or structural resilience, printed 2D floorplans are not sufficient because of the missing link to semantic information. This paper tackles this issue andintroduces a concept for clustering classified lines of a floor plan and for creating semantically enriched contourelements based on different image processing, computer vision and machine learning algorithms. Based on ageneral line clustering approach, we introduce type specific methods forwalls,windows,doorsandstairs. Theresulting clusters are in turn used for a contour c
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Zhang, Guang-Yu, Dong Huang, Chang-Dong Wang, and Wei-Shi Zheng. "Weighted Multi-view On-Line Competitive Clustering." In 2016 IEEE Second International Conference on Big Data Computing Service and Applications (BigDataService). IEEE, 2016. http://dx.doi.org/10.1109/bigdataservice.2016.12.

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Cowie, R. I. D., T. Hamill, P. J. Morrow, and R. H. Perrott. "Interpreting Line Drawings Using a Clustering Technique." In Alvey Vision Conference 1989. Alvey Vision Club, 1989. http://dx.doi.org/10.5244/c.3.7.

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Xi, Y., Y. Chen, Q. Liao, L. Winghong, F. Shunming, and D. Jiangwen. "Character Line Segmentation Based on Feature Clustering." In Ninth International Conference on Document Analysis and Recognition (ICDAR 2007). IEEE, 2007. http://dx.doi.org/10.1109/icdar.2007.4378740.

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Han, Xuecheng, Hui Yao, and Guoqiang Zhong. "Handwritten text line segmentation by spectral clustering." In Eighth International Conference on Graphic and Image Processing, edited by Yulin Wang, Tuan D. Pham, Vit Vozenilek, David Zhang, and Yi Xie. SPIE, 2017. http://dx.doi.org/10.1117/12.2266982.

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Tian, Xiaoguang, Yuke Ma, and Xiaorong Hou. "A New Scan-Line Algorithm Using Clustering Approach." In 2009 Ninth International Conference on Hybrid Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/his.2009.129.

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