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Journal of Statistical Computation and Simulation Volume 87, 2017 - Issue 10
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Original Articles

Modified genetic algorithm-based clustering for probability density functions

Tai Vo-VanNatural Sciences College, Can Tho University, Can Tho, Vietnam
,
Trung Nguyen-ThoiDivision of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
,
Trung Vo-DuyDivision of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
,
Vinh Ho-HuuDivision of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam
&
Thao Nguyen-TrangDivision of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam;Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, VietnamCorrespondence[email protected]
Pages 1964-1979 | Published online: 12 Mar 2017

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Read on this site (2)

Ngoc Lethikim, Tuan Lehoang & Tai Vovan. (2023) Automatic clustering algorithm for interval data based on overlap distance. Communications in Statistics - Simulation and Computation 52:5, pages 2194-2209.
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Tai Vovan, Dinh Phamtoan & Dung Tranthituy. (2021) Automatic genetic algorithm in clustering for discrete elements. Communications in Statistics - Simulation and Computation 50:6, pages 1679-1694.
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Articles from other publishers (18)

Kim-Ngoc T. Le, Dan Nguyenthihong & Tai Vovan. (2023) Fuzzy cluster analysis algorithm for image data based on the extracted feature intervals. Granular Computing 8:6, pages 2067-2081.
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Dinh Phamtoan & Tai Vovan. (2023) Improving fuzzy clustering model for probability density functions using the two-objective genetic algorithm. Multimedia Tools and Applications.
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Thao Nguyen-Trang, Trung Nguyen-Thoi & Tai Vo-Van. (2023) Globally automatic fuzzy clustering for probability density functions and its application for image data. Applied Intelligence 53:15, pages 18381-18397.
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Thao Nguyen-Trang, Trung Nguyen-Thoi, Kim-Ngan Nguyen-Thi & Tai Vo-Van. (2022) Balance-driven automatic clustering for probability density functions using metaheuristic optimization. International Journal of Machine Learning and Cybernetics 14:4, pages 1063-1078.
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Dinh Phamtoan & Tai Vovan. (2022) The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition. Computational Statistics 38:1, pages 25-51.
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Văn Tài Võ, Thị Kim Cương Lê & Ngọc Thơ Châu. (2022) Xây dựng chùm cho dữ liệu ảnh từ khoảng hai chiều được trích xuất. Can Tho University Journal of Science 58:5, pages 22-30.
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Dinh Phamtoan & Tai Vovan. (2022) Automatic fuzzy clustering for probability density functions using the genetic algorithm. Neural Computing and Applications 34:17, pages 14609-14625.
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Văn Tài Võ, Hữu Thoại Nguyễn, Thị Kim Cương Lê, Nguyễn Nhật Trang Phan, Xuân Khánh Tăng & Đại Từ Trần. (2022) Thuật toán di truyền trong phân tích chùm cho dữ liệu rời rạc và ứng dụng cho nhận dạng ảnh. Can Tho University Journal of Science 58:3, pages 107-114.
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Tai Vovan, Yen Nguyenhoang & Sang Danh. (2022) An Automatic Fuzzy Clustering Algorithm for Discrete Elements. Journal of the Operations Research Society of China.
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Dinh Phamtoan & Tai Vovan. (2020) Automatic fuzzy genetic algorithm in clustering for images based on the extracted intervals. Multimedia Tools and Applications 80:28-29, pages 35193-35215.
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Tai Vovan, Dinh Phamtoan, Le Hoang Tuan & Thao Nguyentrang. (2020) An automatic clustering for interval data using the genetic algorithm. Annals of Operations Research 303:1-2, pages 359-380.
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Dinh Phamtoan & Tai Vovan. (2020) Improving fuzzy clustering algorithm for probability density functions and applying in image recognition. Model Assisted Statistics and Applications 15:3, pages 249-261.
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T. Vo-Van, A. Nguyen-Hai, M. V. Tat-Hong & T. Nguyen-Trang. (2020) A New Clustering Algorithm and Its Application in Assessing the Quality of Underground Water. Scientific Programming 2020, pages 1-12.
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D. Pham-Toan, T. Vo-Van, A. T. Pham-Chau, T. Nguyen-Trang & D. Ho-Kieu. (2019) A New Binary Adaptive Elitist Differential Evolution Based Automatic k -Medoids Clustering for Probability Density Functions . Mathematical Problems in Engineering 2019, pages 1-16.
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Nguyen-Trang Thao. (2019) An improved fuzzy time series forecasting model using the differential evolution algorithm. Journal of Intelligent & Fuzzy Systems 36:2, pages 1727-1741.
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T. Nguyen-Trang, T. Nguyen-Thoi, T. Truong-Khac, A. T. Pham-Chau & HungLinh Ao. (2019) An Efficient Hybrid Optimization Approach Using Adaptive Elitist Differential Evolution and Spherical Quadratic Steepest Descent and Its Application for Clustering. Scientific Programming 2019, pages 1-15.
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Ho Kieu Diem, Vo Duy Trung, Nguyen Thoi Trung, Vo Van Tai & Nguyen Trang Thao. (2018) A Differential Evolution-Based Clustering for Probability Density Functions. IEEE Access 6, pages 41325-41336.
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Amrita Khamrui, Diotima Dutta Gupta, S. Ghosh & S. Nandy. 2017. Computational Intelligence, Communications, and Business Analytics. Computational Intelligence, Communications, and Business Analytics 577 584 .

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