Incremental Interval Type-2 Fuzzy Clustering of Data Streams using Single Pass Method
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Mohd Hilmi Hasan | Abdulmohsen Almalawi | Sana Qaiyum | Izzatdin Aziz | Asif Irshad Khan | M. H. Hasan | Abdulmohsen Almalawi | I. Aziz | S. Qaiyum
[1] Lina Hao,et al. Optimization and improvement of data mining algorithm based on efficient incremental kernel fuzzy clustering for large data , 2018, Cluster Computing.
[2] Zhongdong Wu,et al. Fuzzy C-means clustering algorithm based on kernel method , 2003, Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003.
[3] Shirin Enshaeifar,et al. IoT-Stream: A Lightweight Ontology for Internet of Things Data Streams and Its Use with Data Analytics and Event Detection Services † , 2020, Sensors.
[4] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[5] Lawrence O. Hall,et al. Fast accurate fuzzy clustering through data reduction , 2003, IEEE Trans. Fuzzy Syst..
[6] L.O. Hall,et al. Online fuzzy c means , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.
[7] Klemen Kenda,et al. Streaming Data Fusion for the Internet of Things , 2019, Sensors.
[8] PolikarRobi,et al. Incremental Learning of Concept Drift in Nonstationary Environments , 2011 .
[9] Li Wang,et al. The Global Interval Type-2 Fuzzy C-Means clustering algorithm , 2011, 2011 International Conference on Multimedia Technology.
[10] Marimuthu Palaniswami,et al. Fuzzy c-Means Algorithms for Very Large Data , 2012, IEEE Transactions on Fuzzy Systems.
[11] Lawrence O. Hall,et al. Single Pass Fuzzy C Means , 2007, 2007 IEEE International Fuzzy Systems Conference.
[12] Xin-She Yang,et al. Introduction to Algorithms , 2021, Nature-Inspired Optimization Algorithms.
[13] Charles Elkan,et al. Scalability for clustering algorithms revisited , 2000, SKDD.
[14] Junzo Watada,et al. A genetic type-2 fuzzy C-means clustering approach to M-FISH segmentation , 2014, J. Intell. Fuzzy Syst..
[15] Swati Aggarwal,et al. Ant Colony Based Fuzzy C-Means Clustering for Very Large Data , 2017, EUSFLAT/IWIFSGN.
[16] Jian Xiao,et al. Enhanced interval type-2 fuzzy c-means algorithm with improved initial center , 2014, Pattern Recognit. Lett..
[17] Rong Jin,et al. Speedup of fuzzy and possibilistic kernel c-means for large-scale clustering , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).
[18] Peter J. Huber. Data Analysis: What Can Be Learned From the Past 50 Years , 2011 .
[19] Barbara Hammer,et al. Incremental learning algorithms and applications , 2016, ESANN.
[20] Noureddine Zahid,et al. A new cluster-validity for fuzzy clustering , 1999, Pattern Recognit..
[21] Sana Qaiyum,et al. Ant Colony Optimization of Interval Type-2 Fuzzy C-Means with Subtractive Clustering and Multi-Round Sampling for Large Data , 2019, International Journal of Advanced Computer Science and Applications.
[22] J. Mendel. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .
[23] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[24] Weixu,et al. Effectiveness of the Euclidean distance in high dimensional spaces , 2015 .
[25] Liu Pengfei,et al. Tailoring Fuzzy C-Means Clustering Algorithm for Big Data Using Random Sampling and Particle Swarm Optimization , 2015 .
[26] Mourad Khayati,et al. 2015 Ieee International Conference on Big Data (big Data) Online Anomaly Detection over Big Data Streams , 2022 .
[27] Robi Polikar,et al. Incremental Learning of Concept Drift in Nonstationary Environments , 2011, IEEE Transactions on Neural Networks.
[28] Ricardo J. G. B. Campello,et al. A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment , 2007, Pattern Recognit. Lett..
[29] C. Papadimitriou,et al. Introduction to the Theory of Computation , 2018 .
[30] S. Siva Sathya,et al. A Survey of Bio inspired Optimization Algorithms , 2012 .
[31] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[32] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[33] James C. Bezdek,et al. Comparison of scalable fuzzy clustering methods , 2012, 2012 IEEE International Conference on Fuzzy Systems.
[34] Lawrence O. Hall,et al. Accelerating Fuzzy-C Means Using an Estimated Subsample Size , 2014, IEEE Transactions on Fuzzy Systems.
[35] Sung-Bae Cho,et al. A hybrid genetic based functional link artificial neural network with a statistical comparison of classifiers over multiple datasets , 2010, Neural Computing and Applications.
[36] Jesús Alcalá-Fdez,et al. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework , 2011, J. Multiple Valued Log. Soft Comput..
[37] Jie Lu,et al. A fuzzy kernel c-means clustering model for handling concept drift in regression , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[38] Marimuthu Palaniswami,et al. Incremental Kernel Fuzzy c-Means , 2010, IJCCI.
[39] W. Peizhuang. Pattern Recognition with Fuzzy Objective Function Algorithms (James C. Bezdek) , 1983 .
[40] Frank Chung-Hoon Rhee,et al. Uncertain Fuzzy Clustering: Interval Type-2 Fuzzy Approach to $C$-Means , 2007, IEEE Transactions on Fuzzy Systems.
[41] Khaled Ghédira,et al. Discussion and review on evolving data streams and concept drift adapting , 2018, Evol. Syst..
[42] Eitan M. Gurari,et al. Introduction to the theory of computation , 1989 .
[43] Miin-Shen Yang,et al. A cluster validity index for fuzzy clustering , 2005, Pattern Recognit. Lett..
[44] Li Chen,et al. Fast kernel fuzzy c-means algorithms based on difference of convex programming , 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).
[45] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[46] Feng Zhao,et al. Pareto-based interval type-2 fuzzy c-means with multi-scale JND color histogram for image segmentation , 2018, Digit. Signal Process..
[47] Pasi Fränti,et al. Set Matching Measures for External Cluster Validity , 2016, IEEE Transactions on Knowledge and Data Engineering.
[48] Timothy C. Havens,et al. Scalable approximation of kernel fuzzy c-means , 2013, 2013 IEEE International Conference on Big Data.
[49] Albert Bifet,et al. Massive Online Analysis , 2009 .