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Original Articles

Fuzzy clustering of probability density functions

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Pages 583-601 | Received 18 Apr 2015, Accepted 08 Apr 2016, Published online: 29 May 2016

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Read on this site (5)

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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Jen-Hao Chen & Wen-Liang Hung. (2021) A jackknife entropy-based clustering algorithm for probability density functions. Journal of Statistical Computation and Simulation 91:5, pages 861-875.
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Tai Vovan. (2018) Some results of classification problem by Bayesian method and application in credit operation. Statistical Theory and Related Fields 2:2, pages 150-157.
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Tai VoVan & Thao NguyenTrang. (2018) Similar coefficient for cluster of probability density functions. Communications in Statistics - Theory and Methods 47:8, pages 1792-1811.
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Articles from other publishers (25)

Thao Nguyen‐Trang, Tai Vo‐Van & Ha Che‐Ngoc. (2023) An efficient automatic clustering algorithm for probability density functions and its applications in surface material classification. Statistica Neerlandica 78:1, pages 244-260.
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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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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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Ngoc Lethikim & Tai Vovan. (2022) Fuzzy Cluster Analysis for Interval Data Based on the Overlap Distance. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30:04, pages 625-648.
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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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Ha Che-Ngoc, Thao Nguyen-Trang, Tran Nguyen-Bao, Trung Nguyen-Thoi & Tai Vo-Van. (2020) A new approach for face detection using the maximum function of probability density functions. Annals of Operations Research 312:1, pages 99-119.
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Dinh Phamtoan, Khanh Nguyenhuu & Tai Vovan. (2021) Fuzzy clustering algorithm for outlier-interval data based on the robust exponent distance. Applied Intelligence 52:6, pages 6276-6291.
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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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V. V. Tai & L. T. K. Ngoc. 2022. Modern Mechanics and Applications. Modern Mechanics and Applications 841 856 .
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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Jianchao Ouyang & Hongxiang Ge. (2020) Data Analysis Framework of Human Resource Estimation System Based on MySQL-SAAS and Fuzzy Clustering. Data Analysis Framework of Human Resource Estimation System Based on MySQL-SAAS and Fuzzy Clustering.
Yuwen Ning, Xiaoyuan Shi, Jingong Yin & Duowen Xie. (2020) Application of fuzzy C-means clustering method in the analysis of severe medical images. Journal of Intelligent & Fuzzy Systems 38:4, pages 3635-3645.
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Võ Văn Tài, Lê Thị Kim Ngọc, Trần Trung Tín, Thái Minh Trọng & Châu Ngọc Thơ. (2020) Phân loại bằng phương pháp Bayes và ứng dụng trong y học. Can Tho University Journal of Science 56:6, pages 97.
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Tai Vovan, Loc Tranphuoc & Ha Chengoc. (2018) Classifying Two Populations by Bayesian Method and Applications. Communications in Mathematics and Statistics 7:2, pages 141-161.
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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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Tai Vovan. (2019) Cluster Width of probability Density functions. Intelligent Data Analysis 23:2, pages 385-405.
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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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Jianqiang Li, Jingchao Sun, Lu Liu, Bo Liu, Cao Xiao & Fei Wang. (2019) Improved Maximum Margin Clustering via the Bundle Method. IEEE Access 7, pages 63709-63721.
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Võ Văn Tài, Bành Văn Viên & Lê Thị Kim Ngọc. (2018) Cải tiến tiêu chuẩn khoảng cách trong xây dựng chùm các phần tử rời rạc. Can Tho University, Journal of Science 54(7), pages 101.
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D. Ho-Kieu, T. Vo-Van & T. Nguyen-Trang. (2018) Clustering for Probability Density Functions by New -Medoids Method . Scientific Programming 2018, pages 1-7.
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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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Tai Vovan. 2017. Bayesian Inference. Bayesian Inference.

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