Results 1 to 10 of about 152,595 (295)
Fuzzy Clustering Validity Index Combined with Multi-objective Optimization Algorithm and Its Application [PDF]
Jisuanji kexue, 2021 Fuzzy clustering method can analyze complex data sets more effectively.Because there are many kinds of fuzzy clustering algorithms and the clustering results will change with the number of input clusters,the results of fuzzy clustering algorithm are not ...
CUI Guo-nan, WANG Li-song, KANG Jie-xiang, GAO Zhong-jie, WANG Hui, YIN Wei
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Mathematics, 2021 The fuzzy clustering algorithm has become a research hotspot in many fields because of its better clustering effect and data expression ability. However, little research focuses on the clustering of hesitant fuzzy linguistic term sets (HFLTSs).
Shuangsheng Wu +3 more
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COMPARATIVE STUDY OF DISTANCE MEASURES ON FUZZY SUBTRACTIVE CLUSTERING
Media Statistika, 2022 Clustering is a data analysis process which applied to classify the unlabeled data. Fuzzy clustering is a clustering method based on membership value which enclosing set of fuzzy as a measurement base for classification process.
Anisa Eka Haryati, Sugiyarto Surono
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Clustering of Fuzzy Data Sets Based on Particle Swarm Optimization With Fuzzy Cluster Centers [PDF]
International Journal of Industrial Engineering and Production Research, 2022 In current study, a particle swarm clustering method is suggested for clustering triangular fuzzy data. This clustering method can find fuzzy cluster centers in the proposed method, where fuzzy cluster centers contain more points from the corresponding ...
seyed hamid zahiri +2 more
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A Spectral Clustering Algorithm Based on Fuzzy Kernel Clustering [PDF]
Jisuanji gongcheng, 2017 Spectral clustering eigenvector of the Laplace matrix is not limited to the distribution shape of the original data and can converge to the global optimal solution,but it cannot accurately reflect the actual relationship between samples.However,fuzzy ...
FAN Zijing,LUO Ze,MA Yongzheng
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On fuzzification and optimization problems of clustering indices
International Journal of Mathematics for Industry, 2023 Results of clustering are qualitatively evaluated by quantities called clustering indices. While many clustering indices are proposed, in B. Desgraupes [Clustering Indices (2016)], Desgraupes reviewed 27 indices, most of which are applicable only to ...
Devi Rahmah Sope, Fujio Mitsuhiko
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An improved fuzzy clustering image segmentation algorithm combining spatial information
Xi'an Gongcheng Daxue xuebao, 2021 In order to improve the ability of fuzzy C-means (FCM) clustering algorithm to suppress noise, an improved fuzzy clustering image segmentation algorithm was proposed.
Xudong LIU +4 more
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A Two-Stage Evolutionary Fuzzy Clustering Framework for Noisy Image Segmentation
IEEE Access, 2020 This article presents a two-stage evolutionary fuzzy clustering framework for noisy image segmentation. It is a bi-stage system comprising a multi-objective optimization stage and a fuzzy clustering segmentation stage. In the multi-objective optimization
Licheng Jiao +4 more
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Fuzzy Cluster Analysis: Pseudometrics and Fuzzy Clusters
Cybernetics and Computer Technologies, 2023 Introduction. Clustering problems arise in various spheres of human activity. In cases where there are no initial data sufficient for statistical analysis or information obtained from experts is used, fuzzy models are proposed that take into account different types of uncertainty and more argumentatively reflect real situations that model systems of ...
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Possibilistic and fuzzy clustering methods for robust analysis of non-precise data [PDF]
, 2017 This work focuses on robust clustering of data affected by imprecision. The imprecision is managed in terms of fuzzy sets. The clustering process is based on the fuzzy and possibilistic approaches.
Ferraro, MARIA BRIGIDA, Giordani, Paolo
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