Статті в журналах з теми "Possibilistic clustering"
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Miyamoto, Sadaaki, Youhei Kuroda, and 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, no. 5 (September 20, 2008): 448–53. http://dx.doi.org/10.20965/jaciii.2008.p0448.
Yang, Miin-Shen, and Kuo-Lung Wu. "Unsupervised possibilistic clustering." Pattern Recognition 39, no. 1 (January 2006): 5–21. http://dx.doi.org/10.1016/j.patcog.2005.07.005.
Ubukata, Seiki, Katsuya Koike, Akira Notsu, and Katsuhiro Honda. "MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 5 (September 20, 2018): 747–58. http://dx.doi.org/10.20965/jaciii.2018.p0747.
ZHOU, JIAN, and CHIH-CHENG HUNG. "A GENERALIZED APPROACH TO POSSIBILISTIC CLUSTERING ALGORITHMS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 15, supp02 (April 2007): 117–38. http://dx.doi.org/10.1142/s0218488507004650.
De Cáceres, Miquel, Francesc Oliva, and Xavier Font. "On relational possibilistic clustering." Pattern Recognition 39, no. 11 (November 2006): 2010–24. http://dx.doi.org/10.1016/j.patcog.2006.04.008.
Treerattanapitak, Kiatichai, and Chuleerat Jaruskulchai. "Possibilistic Exponential Fuzzy Clustering." Journal of Computer Science and Technology 28, no. 2 (March 2013): 311–21. http://dx.doi.org/10.1007/s11390-013-1331-7.
Pimentel, Bruno Almeida, and Renata M. C. R. de Souza. "A Generalized Multivariate Approach for Possibilistic Fuzzy C-Means Clustering." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, no. 06 (November 27, 2018): 893–916. http://dx.doi.org/10.1142/s021848851850040x.
Krishnapuram, R., and J. M. Keller. "A possibilistic approach to clustering." IEEE Transactions on Fuzzy Systems 1, no. 2 (May 1993): 98–110. http://dx.doi.org/10.1109/91.227387.
Xenaki, Spyridoula D., Konstantinos D. Koutroumbas, and Athanasios A. Rontogiannis. "Sparsity-Aware Possibilistic Clustering Algorithms." IEEE Transactions on Fuzzy Systems 24, no. 6 (December 2016): 1611–26. http://dx.doi.org/10.1109/tfuzz.2016.2543752.
Chowdhary, Chiranji Lal, and D. P. Acharjya. "Clustering Algorithm in Possibilistic Exponential Fuzzy C-Mean Segmenting Medical Images." Journal of Biomimetics, Biomaterials and Biomedical Engineering 30 (January 2017): 12–23. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.30.12.
Esaki, Tomohito, Tomonori Hashiyama, and Yahachiro Tsukamoto. "Fuzzy Clustering Based on Total Uncertainty Degree." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 8 (October 20, 2007): 897–904. http://dx.doi.org/10.20965/jaciii.2007.p0897.
Hamasuna, Yukihiro, and Yasunori Endo. "On Sequential Cluster Extraction Based onL1-Regularized Possibilisticc-Means." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 5 (September 20, 2015): 655–61. http://dx.doi.org/10.20965/jaciii.2015.p0655.
Wu, Xiao Hong, Tong Xiang Cai, Bin Wu, and Jun Sun. "Research on the Variety Discrimination of Apple Using a Hybrid Possibilistic Clustering." Advanced Materials Research 710 (June 2013): 768–71. http://dx.doi.org/10.4028/www.scientific.net/amr.710.768.
Wan, Renxia, Yuelin Gao, and Caixia Li. "Weighted Fuzzy-Possibilistic C-Means Over Large Data Sets." International Journal of Data Warehousing and Mining 8, no. 4 (October 2012): 82–107. http://dx.doi.org/10.4018/jdwm.2012100104.
Hai-Jun, Fu, Wu Xiao-Hong, Mao Han-Ping, and Wu Bin. "Fuzzy Entropy Clustering Using Possibilistic Approach." Procedia Engineering 15 (2011): 1993–97. http://dx.doi.org/10.1016/j.proeng.2011.08.372.
Zhang, J. S., and Y. W. Leung. "Improved Possibilistic C-Means Clustering Algorithms." IEEE Transactions on Fuzzy Systems 12, no. 2 (April 2004): 209–17. http://dx.doi.org/10.1109/tfuzz.2004.825079.
Xenaki, Spyridoula D., Konstantinos D. Koutroumbas, and Athanasios A. Rontogiannis. "A Novel Adaptive Possibilistic Clustering Algorithm." IEEE Transactions on Fuzzy Systems 24, no. 4 (August 1, 2016): 791–810. http://dx.doi.org/10.1109/tfuzz.2015.2486806.
Yu, Haiyan, Jiulun Fan, and Rong Lan. "Suppressed possibilistic c-means clustering algorithm." Applied Soft Computing 80 (July 2019): 845–72. http://dx.doi.org/10.1016/j.asoc.2019.02.027.
El Harchaoui, Nour-Eddine, Mounir Ait Kerroum, Ahmed Hammouch, Mohamed Ouadou, and Driss Aboutajdine. "Unsupervised Approach Data Analysis Based on Fuzzy Possibilistic Clustering: Application to Medical Image MRI." Computational Intelligence and Neuroscience 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/435497.
Szilágyi, László, Szidónia Lefkovits, and Sándor M. Szilágyi. "Self-Tuning Possibilistic c-Means Clustering Models." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 27, Supp01 (November 5, 2019): 143–59. http://dx.doi.org/10.1142/s0218488519400075.
Putri, Ghina Nabila Saputro, Dwi Ispriyanti, and Tatik Widiharih. "IMPLEMENTASI ALGORITMA FUZZY C-MEANS DAN FUZZY POSSIBILISTICS C-MEANS UNTUK KLASTERISASI DATA TWEETS PADA AKUN TWITTER TOKOPEDIA." Jurnal Gaussian 11, no. 1 (May 13, 2022): 86–98. http://dx.doi.org/10.14710/j.gauss.v11i1.33996.
Pimentel, Bruno Almeida, and Renata M. C. R. De Souza. "Possibilistic Clustering Methods for Interval-Valued Data." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 02 (April 2014): 263–91. http://dx.doi.org/10.1142/s0218488514500135.
Gupta, Saroj Kumar, M. V. Jagannatha Reddy, and A. Nanda Kumar. "Possibilistic Clustering Adaptive Smoothing Bilateral Filter Using Artificial Neural Network." International Journal of Engineering and Technology 2, no. 6 (2010): 499–503. http://dx.doi.org/10.7763/ijet.2010.v2.171.
Azzouzi, Souad, Amal Hjouji, Jaouad EL- Mekkaoui, and Ahmed EL Khalfi. "A Generalization of Possibilistic Fuzzy C-Means Method for Statistical Clustering of Data." International Journal of Circuits, Systems and Signal Processing 15 (December 17, 2021): 1766–80. http://dx.doi.org/10.46300/9106.2021.15.191.
Bouzbida, Mohamed, Lassad Hassine, and Abdelkader Chaari. "Robust Kernel Clustering Algorithm for Nonlinear System Identification." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/2427309.
Hamasuna, Yukihiro, Yasunori Endo, and Sadaaki Miyamoto. "On tolerant fuzzy c-means clustering and tolerant possibilistic clustering." Soft Computing 14, no. 5 (June 3, 2009): 487–94. http://dx.doi.org/10.1007/s00500-009-0451-z.
Chen, Jiashun, Hao Zhang, Dechang Pi, Mehmed Kantardzic, Qi Yin, and Xin Liu. "A Weight Possibilistic Fuzzy C-Means Clustering Algorithm." Scientific Programming 2021 (June 10, 2021): 1–10. http://dx.doi.org/10.1155/2021/9965813.
Ismail, Mohamed Maher Ben, Sara N. Alfaraj, and Ouiem Bchir. "Automatic Image Annotation using Possibilistic Clustering Algorithm." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 19, no. 4 (December 31, 2019): 250–62. http://dx.doi.org/10.5391/ijfis.2019.19.4.250.
Yu, Hong, and Hu Luo. "A novel possibilistic fuzzy leader clustering algorithm." International Journal of Hybrid Intelligent Systems 8, no. 1 (March 18, 2011): 31–40. http://dx.doi.org/10.3233/his-2011-0129.
Škrjanc, Igor, and Dejan Dovžan. "Evolving Gustafson-kessel Possibilistic c-Means Clustering." Procedia Computer Science 53 (2015): 191–98. http://dx.doi.org/10.1016/j.procs.2015.07.294.
Tang, Yiming, Xianghui Hu, Witold Pedrycz, and Xiaocheng Song. "Possibilistic fuzzy clustering with high-density viewpoint." Neurocomputing 329 (February 2019): 407–23. http://dx.doi.org/10.1016/j.neucom.2018.11.007.
Hu, Yating, Chuncheng Zuo, Fuheng Qu, and Weili Shi. "Unsupervised Possibilistic Clustering Based on Kernel Methods." Physics Procedia 25 (2012): 1084–90. http://dx.doi.org/10.1016/j.phpro.2012.03.203.
Barni, M., V. Cappellini, and A. Mecocci. "Comments on "A possibilistic approach to clustering"." IEEE Transactions on Fuzzy Systems 4, no. 3 (August 1996): 393–96. http://dx.doi.org/10.1109/91.531780.
Chaudhuri, Arindam. "Intuitionistic Fuzzy Possibilistic C Means Clustering Algorithms." Advances in Fuzzy Systems 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/238237.
Pal, N. R., K. Pal, J. M. Keller, and J. C. Bezdek. "A possibilistic fuzzy c-means clustering algorithm." IEEE Transactions on Fuzzy Systems 13, no. 4 (August 2005): 517–30. http://dx.doi.org/10.1109/tfuzz.2004.840099.
Tsaipei Wang. "Possibilistic Shell Clustering of Template-Based Shapes." IEEE Transactions on Fuzzy Systems 17, no. 4 (August 2009): 777–93. http://dx.doi.org/10.1109/tfuzz.2008.924360.
Yang, Miin-Shen, and Chien-Yo Lai. "A Robust Automatic Merging Possibilistic Clustering Method." IEEE Transactions on Fuzzy Systems 19, no. 1 (February 2011): 26–41. http://dx.doi.org/10.1109/tfuzz.2010.2077640.
Yu, Haiyan, and Jiulun Fan. "Cutset-type possibilistic c-means clustering algorithm." Applied Soft Computing 64 (March 2018): 401–22. http://dx.doi.org/10.1016/j.asoc.2017.12.024.
Coppi, Renato, Pierpaolo D’Urso, and Paolo Giordani. "Fuzzy and possibilistic clustering for fuzzy data." Computational Statistics & Data Analysis 56, no. 4 (April 2012): 915–27. http://dx.doi.org/10.1016/j.csda.2010.09.013.
Hu, Ya Ting, Fu Heng Qu, Yao Hong Xue, and Yong Yang. "An Efficient and Robust Kernelized Possibilistic C-Means Clustering Algorithm." Advanced Materials Research 962-965 (June 2014): 2881–85. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2881.
Hamasuna, Yukihiro, and Yasunori Endo. "On Cluster Extraction from Relational Data UsingL1-Regularized Possibilistic Assignment Prototype Algorithm." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 1 (January 20, 2015): 23–28. http://dx.doi.org/10.20965/jaciii.2015.p0023.
Miyamoto, Sadaaki. "Formulation of Fuzzyc-Means Clustering Using Calculus of Variations and Twofold Membership Clusters." Journal of Advanced Computational Intelligence and Intelligent Informatics 12, no. 5 (September 20, 2008): 454–60. http://dx.doi.org/10.20965/jaciii.2008.p0454.
Gu, Yuxin, Tongguang Ni, and Yizhang Jiang. "Deep Possibilistic C -means Clustering Algorithm on Medical Datasets." Computational and Mathematical Methods in Medicine 2022 (April 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/3469979.
Wu, Xiao Hong, Bin Wu, and Jie Wen Zhao. "Improved Inter-Cluster Separation Algorithm." Key Engineering Materials 439-440 (June 2010): 361–66. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.361.
Thiyagarajan, V. S., and Venkatachalapathy Venkatachalapathy. "Privacy Preserving Probabilistic Possibilistic Fuzzy C Means Clustering." Research Journal of Applied Sciences, Engineering and Technology 11, no. 1 (September 5, 2015): 27–39. http://dx.doi.org/10.19026/rjaset.11.1672.
A.Viattchenin, Dmitri, and Stanislau Shyrai. "Intuitionistic Heuristic Prototype-based Algorithm of Possibilistic Clustering." Communications on Applied Electronics 1, no. 8 (May 26, 2015): 30–40. http://dx.doi.org/10.5120/cae-1629.
Fadhel, Mohamed, and Adel M. "Selecting Parameters of the Fuzzy Possibilistic Clustering Algorithm." Communications on Applied Electronics 5, no. 10 (September 26, 2016): 42–52. http://dx.doi.org/10.5120/cae2016652389.
Chatzis, Sotirios P., and Gavriil Tsechpenakis. "A possibilistic clustering approach toward generative mixture models." Pattern Recognition 45, no. 5 (May 2012): 1819–25. http://dx.doi.org/10.1016/j.patcog.2011.10.010.
Yang, Miin-Shen, Shou-Jen Chang-Chien, and Yessica Nataliani. "A Fully-Unsupervised Possibilistic C-Means Clustering Algorithm." IEEE Access 6 (2018): 78308–20. http://dx.doi.org/10.1109/access.2018.2884956.
Tjhi, William-Chandra, and Lihui Chen. "Possibilistic fuzzy co-clustering of large document collections." Pattern Recognition 40, no. 12 (December 2007): 3452–66. http://dx.doi.org/10.1016/j.patcog.2007.04.017.