Artículos de revistas sobre el tema "Clustering"
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Qian, Yue, Shixin Yao, Tianjun Wu, You Huang y Lingbin Zeng. "Improved Selective Deep-Learning-Based Clustering Ensemble". Applied Sciences 14, n.º 2 (15 de enero de 2024): 719. http://dx.doi.org/10.3390/app14020719.
Texto completoHess, Sibylle, Wouter Duivesteijn, Philipp Honysz y Katharina Morik. "The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 3788–95. http://dx.doi.org/10.1609/aaai.v33i01.33013788.
Texto completoManjunath, Mohith, Yi Zhang, Yeonsung Kim, Steve H. Yeo, Omar Sobh, Nathan Russell, Christian Followell, Colleen Bushell, Umberto Ravaioli y Jun S. Song. "ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data". PeerJ Computer Science 4 (21 de mayo de 2018): e155. http://dx.doi.org/10.7717/peerj-cs.155.
Texto completoWei, Shaowei, Jun Wang, Guoxian Yu, Carlotta Domeniconi y Xiangliang Zhang. "Multi-View Multiple Clusterings Using Deep Matrix Factorization". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 6348–55. http://dx.doi.org/10.1609/aaai.v34i04.6104.
Texto completoMiklautz, Lukas, Dominik Mautz, Muzaffer Can Altinigneli, Christian Böhm y Claudia Plant. "Deep Embedded Non-Redundant Clustering". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 5174–81. http://dx.doi.org/10.1609/aaai.v34i04.5961.
Texto completoFisher, D. "Iterative Optimization and Simplification of Hierarchical Clusterings". Journal of Artificial Intelligence Research 4 (1 de abril de 1996): 147–78. http://dx.doi.org/10.1613/jair.276.
Texto completoLi, Hongmin, Xiucai Ye, Akira Imakura y Tetsuya Sakurai. "LSEC: Large-scale spectral ensemble clustering". Intelligent Data Analysis 27, n.º 1 (30 de enero de 2023): 59–77. http://dx.doi.org/10.3233/ida-216240.
Texto completoSun, Yuqin, Songlei Wang, Dongmei Huang, Yuan Sun, Anduo Hu y Jinzhong Sun. "A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped". Intelligent Data Analysis 26, n.º 5 (5 de septiembre de 2022): 1211–28. http://dx.doi.org/10.3233/ida-216112.
Texto completoRouba, Baroudi y Safia Nait Bahloul. "A Multicriteria Clustering Approach Based on Similarity Indices and Clustering Ensemble Techniques". International Journal of Information Technology & Decision Making 13, n.º 04 (julio de 2014): 811–37. http://dx.doi.org/10.1142/s0219622014500631.
Texto completoGilpin, Sean, Siegried Nijssen y Ian Davidson. "Formalizing Hierarchical Clustering as Integer Linear Programming". Proceedings of the AAAI Conference on Artificial Intelligence 27, n.º 1 (30 de junio de 2013): 372–78. http://dx.doi.org/10.1609/aaai.v27i1.8671.
Texto completoWang, Yanhua, Xiyu Liu y Laisheng Xiang. "GA-Based Membrane Evolutionary Algorithm for Ensemble Clustering". Computational Intelligence and Neuroscience 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4367342.
Texto completoSun, Tao, Saeed Mashdour y Mohammad Reza Mahmoudi. "An Ensemble Clusterer Framework based on Valid and Diverse Basic Small Clusters". International Journal of Information Technology & Decision Making 20, n.º 04 (26 de mayo de 2021): 1189–219. http://dx.doi.org/10.1142/s0219622021500309.
Texto completoKomori, Osamu y Shinto Eguchi. "A Unified Formulation of k-Means, Fuzzy c-Means and Gaussian Mixture Model by the Kolmogorov–Nagumo Average". Entropy 23, n.º 5 (24 de abril de 2021): 518. http://dx.doi.org/10.3390/e23050518.
Texto completoNiu, Huan, Nasim Khozouie, Hamid Parvin, Hamid Alinejad-Rokny, Amin Beheshti y Mohammad Reza Mahmoudi. "An Ensemble of Locally Reliable Cluster Solutions". Applied Sciences 10, n.º 5 (10 de marzo de 2020): 1891. http://dx.doi.org/10.3390/app10051891.
Texto completoLi, Hong-Dong, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S. Omenn y Jianxin Wang. "ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets". Journal of Bioinformatics and Computational Biology 18, n.º 03 (junio de 2020): 2040009. http://dx.doi.org/10.1142/s0219720020400090.
Texto completoJia, Yuheng, Hui Liu, Junhui Hou y Qingfu Zhang. "Clustering Ensemble Meets Low-rank Tensor Approximation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 9 (18 de mayo de 2021): 7970–78. http://dx.doi.org/10.1609/aaai.v35i9.16972.
Texto completoDasgupta, Sajib, Richard Golden y Vincent Ng. "Clustering Documents Along Multiple Dimensions". Proceedings of the AAAI Conference on Artificial Intelligence 26, n.º 1 (20 de septiembre de 2021): 879–85. http://dx.doi.org/10.1609/aaai.v26i1.8325.
Texto completoDavidson, Ian y S. S. Ravi. "Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 3733–40. http://dx.doi.org/10.1609/aaai.v34i04.5783.
Texto completoAGOGINO, ADRIAN y KAGAN TUMER. "A MULTIAGENT COORDINATION APPROACH TO ROBUST CONSENSUS CLUSTERING". Advances in Complex Systems 13, n.º 02 (abril de 2010): 165–97. http://dx.doi.org/10.1142/s0219525910002499.
Texto completoRodrigues, Pedro Pereira, João Araújo, João Gama y Luís Lopes. "A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks". International Journal of Distributed Sensor Networks 14, n.º 10 (octubre de 2018): 155014771880823. http://dx.doi.org/10.1177/1550147718808239.
Texto completoVEGA-PONS, SANDRO y JOSÉ RUIZ-SHULCLOPER. "A SURVEY OF CLUSTERING ENSEMBLE ALGORITHMS". International Journal of Pattern Recognition and Artificial Intelligence 25, n.º 03 (mayo de 2011): 337–72. http://dx.doi.org/10.1142/s0218001411008683.
Texto completoXu, Jiaxuan, Jiang Wu, Taiyong Li y Yang Nan. "Divergence-Based Locally Weighted Ensemble Clustering with Dictionary Learning and the L2,1-Norm". Entropy 24, n.º 10 (21 de septiembre de 2022): 1324. http://dx.doi.org/10.3390/e24101324.
Texto completoNiu, Kun, Shubo Zhang y Junliang Chen. "Subspace clustering through attribute clustering". Frontiers of Electrical and Electronic Engineering in China 3, n.º 1 (enero de 2008): 44–48. http://dx.doi.org/10.1007/s11460-008-0010-x.
Texto completoBasu, Sumit, Danyel Fisher, Steven Drucker y Hao Lu. "Assisting Users with Clustering Tasks by Combining Metric Learning and Classification". Proceedings of the AAAI Conference on Artificial Intelligence 24, n.º 1 (3 de julio de 2010): 394–400. http://dx.doi.org/10.1609/aaai.v24i1.7694.
Texto completoJONYER, ISTVAN, LAWRENCE B. HOLDER y DIANE J. COOK. "GRAPH-BASED HIERARCHICAL CONCEPTUAL CLUSTERING". International Journal on Artificial Intelligence Tools 10, n.º 01n02 (marzo de 2001): 107–35. http://dx.doi.org/10.1142/s0218213001000441.
Texto completoZhang, Yinghui. "A Kernel Probabilistic Model for Semi-supervised Co-clustering Ensemble". Journal of Intelligent Systems 29, n.º 1 (30 de diciembre de 2017): 143–53. http://dx.doi.org/10.1515/jisys-2017-0513.
Texto completoBerman, Piotr, Bhaskar DasGupta, Ming-Yang Kao y Jie Wang. "On constructing an optimal consensus clustering from multiple clusterings". Information Processing Letters 104, n.º 4 (noviembre de 2007): 137–45. http://dx.doi.org/10.1016/j.ipl.2007.06.008.
Texto completoAl-Najdi, Atheer, Nicolas Pasquier y Frédéric Precioso. "Using Closed Patterns to Solve the Consensus Clustering Problem". International Journal of Software Engineering and Knowledge Engineering 26, n.º 09n10 (noviembre de 2016): 1379–97. http://dx.doi.org/10.1142/s021819401640009x.
Texto completoAltman, Naomi y Martin Krzywinski. "Clustering". Nature Methods 14, n.º 6 (30 de mayo de 2017): 545–46. http://dx.doi.org/10.1038/nmeth.4299.
Texto completoBrown, Harold y Sandra Salisch. "Clustering". College Teaching 44, n.º 1 (enero de 1996): 29–33. http://dx.doi.org/10.1080/87567555.1996.9925552.
Texto completoSubramanian, Srividhya y Keith E. Shafer. "Clustering". Journal of Library Administration 34, n.º 3-4 (diciembre de 2001): 221–28. http://dx.doi.org/10.1300/j111v34n03_01.
Texto completoOUELLETTE, JANE N., LINDA L. MARTIN, RACHAEL BRUGH HOLMES, JANICE M. ROGERS y ANN M. ROSSI. "Clustering". Nursing Management (Springhouse) 20, n.º 6 (junio de 1989): 31???38. http://dx.doi.org/10.1097/00006247-198906000-00012.
Texto completoDiscombe, G. "Clustering". BMJ 290, n.º 6475 (13 de abril de 1985): 1149. http://dx.doi.org/10.1136/bmj.290.6475.1149-a.
Texto completo王, 田雨. "Clustering Algorithm Based on Initial Clustering". Advances in Applied Mathematics 10, n.º 02 (2021): 461–70. http://dx.doi.org/10.12677/aam.2021.102052.
Texto completoSATO-ILIC, Mika. "Fuzzy Clustering and Fuzzy Clustering Models". Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 31, n.º 3 (15 de junio de 2019): 75–81. http://dx.doi.org/10.3156/jsoft.31.3_75.
Texto completoLiu, Shuai y Meng Zhan. "Clustering versus non-clustering phase synchronizations". Chaos: An Interdisciplinary Journal of Nonlinear Science 24, n.º 1 (marzo de 2014): 013104. http://dx.doi.org/10.1063/1.4861685.
Texto completoLipor, John y Laura Balzano. "Clustering quality metrics for subspace clustering". Pattern Recognition 104 (agosto de 2020): 107328. http://dx.doi.org/10.1016/j.patcog.2020.107328.
Texto completoZhu, Wencheng, Jiwen Lu y Jie Zhou. "Nonlinear subspace clustering for image clustering". Pattern Recognition Letters 107 (mayo de 2018): 131–36. http://dx.doi.org/10.1016/j.patrec.2017.08.023.
Texto completoAbdullah, Manal, Ahlam Al-Thobaity, Afnan Bawazir y Nouf Al-Harbe. "Energy Efficient Ensemble K-means and SVM for Wireless Sensor Network". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, n.º 9 (27 de noviembre de 2013): 3034–42. http://dx.doi.org/10.24297/ijct.v11i9.3409.
Texto completoWang, Xing, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao y Maozu Guo. "Multiple Independent Subspace Clusterings". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 5353–60. http://dx.doi.org/10.1609/aaai.v33i01.33015353.
Texto completoMiyamoto, Sadaaki, Youhei Kuroda y Kenta Arai. "Algorithms for Sequential Extraction of Clusters by Possibilistic Method and Comparison with Mountain Clustering". Journal of Advanced Computational Intelligence and Intelligent Informatics 12, n.º 5 (20 de septiembre de 2008): 448–53. http://dx.doi.org/10.20965/jaciii.2008.p0448.
Texto completoZhu-Juan Ma, Zhu-Juan Ma, Zi-Han Wang Zhu-Juan Ma, Xiang-Hua Chen Zi-Han Wang y Feng Liu Xiang-Hua Chen. "DP-Kmeans and Beyond: Optimal Clustering with a new Clustering Validity Index". 電腦學刊 33, n.º 5 (octubre de 2022): 001–17. http://dx.doi.org/10.53106/199115992022103305001.
Texto completoMuhammad Tianda, Izhar, Mohammad Noufal Ubadah, M. Fariz Fadillah Mardianto, Said Agil Al Munawwarah, Nurhalisa Ishak, Dita Amelia y Elly Ana. "Clustering Fake News with K-Means and Agglomerative Clustering Based on Word2Vec". INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH 12, n.º 02 (4 de febrero de 2024): 3999–4007. http://dx.doi.org/10.47191/ijmcr/v12i2.01.
Texto completoMiloudi, Salim, Yulin Wang y Wenjia Ding. "An Improved Similarity-Based Clustering Algorithm for Multi-Database Mining". Entropy 23, n.º 5 (29 de abril de 2021): 553. http://dx.doi.org/10.3390/e23050553.
Texto completoMedrano, Cesar, Gastelum Alonso, Octavio Lafarga y Jose Cervantes. "MCClusteringSM: An approach for the multicriteria clustering problem based on a credibility similarity measure". Computer Science and Information Systems, n.º 00 (2024): 33. http://dx.doi.org/10.2298/csis230302033m.
Texto completoJadhav, Priyanka y Rasika Patil. "Analysis of Clustering technique". International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30 de junio de 2018): 2422–24. http://dx.doi.org/10.31142/ijtsrd15616.
Texto completoSilva, Pavani Y. De, Chiran N. Fernando, Damith D. Wijethunge y Subha D. Fernando. "Recursive Hierarchical Clustering Algorithm". International Journal of Machine Learning and Computing 8, n.º 1 (febrero de 2018): 1–7. http://dx.doi.org/10.18178/ijmlc.2018.8.1.654.
Texto completoFANG, LI ZHI. "QUASAR CLUSTERING AND ITS COSMOLOGICAL IMPLICATION". International Journal of Modern Physics A 04, n.º 14 (20 de agosto de 1989): 3477–502. http://dx.doi.org/10.1142/s0217751x89001394.
Texto completoN Sujatha, Latha Narayanan Valli, A Prema, SK Rathiha y V Raja. "Initial centroid selection for K- means clustering algorithm using the statistical method". International Journal of Science and Research Archive 7, n.º 2 (30 de diciembre de 2022): 474–78. http://dx.doi.org/10.30574/ijsra.2022.7.2.0309.
Texto completoDu, Hang-Yuan y Wen-Jian Wang. "A Clustering Ensemble Framework with Integration of Data Characteristics and Structure Information: A Graph Neural Networks Approach". Mathematics 10, n.º 11 (26 de mayo de 2022): 1834. http://dx.doi.org/10.3390/math10111834.
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