Suchergebnisse - Fuzzy c-means clustering algorithm

Generalized Ordered Intuitionistic Fuzzy C-Means Clustering Algorithm Based on PROMETHEE and Intuitionistic Fuzzy C-Means von Bashir, Muhammad Adnan, Rashid, Tabasam, Bashir, Muhammad Salman

“… However, the intuitionistic fuzzy c-means (IFCM) clustering algorithm enhances the accuracy and effectiveness of decision-making processes by effectively handling uncertain dataset information for clustering …”
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Federated c-Means and Fuzzy c-Means Clustering Algorithms for Horizontally and Vertically Partitioned Data von Barcena, Jose Luis Corcuera, Marcelloni, Francesco, Renda, Alessandro, Bechini, Alessio, Ducange, Pietro

“… In this article, we propose federated procedures for losslessly executing the C-means (CM) and the fuzzy C-means (FCM …”
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A Novel Evolutionary Kernel Intuitionistic Fuzzy C -means Clustering Algorithm von Lin, Kuo-Ping

“… This study proposes a novel evolutionary kernel intuitionistic fuzzy c-means clustering algorithm (EKIFCM …”
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A Novel Adaptive Fuzzy Local Information C -Means Clustering Algorithm for Remotely Sensed Imagery Classification von Zhang, Hua, Wang, Qunming, Shi, Wenzhong, Hao, Ming

“… This paper presents a novel adaptive fuzzy local information c-means (ADFLICM) clustering approach for remotely sensed imagery classification by incorporating the local spatial and gray level information constraints …”
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Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series von Yang, Zonglin, Jiang, Shurong, Yu, Fusheng, Pedrycz, Witold, Yang, Huilin, Hao, Yadong

“… This article aims to design a trend-oriented-granulation-based fuzzy <inline-formula> <tex-math notation="LaTeX">C </tex-math></inline-formula>-means (FCM) algorithm that can cluster a group of time series at an abstract …”
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From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy c-means Algorithm von Li, Hongzong, Wang, Jun

“… The fuzzy c-means clustering algorithm is the most widely used soft clustering algorithm …”
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Improving Wang–Mendel method performance in fuzzy rules generation using the fuzzy C-means clustering algorithm von Gou, Jin, Hou, Feng, Chen, Wenyu, Wang, Cheng, Luo, Wei

“… The fuzzy C-means clustering (FCM) algorithm can reduce the scale of samples and undo noisy data to some degree …”
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A Hybrid Fuzzy Wavelet Neural Network Model with Self-Adapted Fuzzy c-Means Clustering and Genetic Algorithm for Water Quality Prediction in Rivers von Ying, Guangguo, Kong, Shaofei, Ruan, Jujun, Cai, Jiannan, Yi, XiaoHui, Zhang, Chao, Liu, Hongbin, Tian, Di, Huang, Mingzhi, Zhang, Tao

“… A self-adapted fuzzy c-means clustering was used to determine the number of fuzzy rules …”
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Comments on "A Robust Fuzzy Local Information C-Means Clustering Algorithm" von Celik, T., Hwee Kuan Lee

“… In a recent paper, Krinidis and Chatzis proposed a variation of fuzzy c-means algorithm for image clustering …”
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Projected fuzzy c-means clustering algorithm with instance penalty von Wang, Jikui, Wu, Yiwen, Huang, Xueyan, Zhang, Cuihong, Nie, Feiping

“… Therefore, to address these problems, a projected fuzzy c-means clustering algorithm with instance penalty (PCIP) is proposed …”
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Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm: Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under von Chang, Sheng-Chieh, Jeng, Jin-Tsong

“… This robustness makes it effective in handling fuzzy and uncertain data. Hence, in this paper Hausdorff distance is proposed on interval generalized improved fuzzy partitions fuzzy C-means clustering algorithm for symbolic interval data analysis (SIDA …”
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CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation von Golzari Oskouei, Amin, Hashemzadeh, Mahdi, Asheghi, Bahareh, Balafar, Mohammad Ali

“… The fuzzy c-means (FCM) algorithm is a popular method for data clustering and image segmentation …”
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Robust fuzzy c-means clustering algorithm with adaptive spatial & intensity constraint and membership linking for noise image segmentation von Wang, Qingsheng, Wang, Xiaopeng, Fang, Chao, Yang, Wenting

“… The fuzzy C-means (FCM) clustering method is proven to be an efficient method to segment images …”
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A Novel Brain MRI Image Segmentation Method Using an Improved Multi-View Fuzzy c-Means Clustering Algorithm von Hua, Lei, Gu, Yi, Gu, Xiaoqing, Xue, Jing, Ni, Tongguang

“… Materials and Methods: The fuzzy clustering algorithm establishes the expression of the uncertainty of the sample category and can describe the ambiguity brought by the partial volume effect to the brain MRI image …”
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Modified dynamic fuzzy c-means clustering algorithm – Application in dynamic customer segmentation von Munusamy, Sivaguru, Murugesan, Punniyamoorthy

“… The Crespo’s dynamic fuzzy c -means (CDFCM) is one of the clustering algorithms introduced in the literature for DCS …”
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Improved fuzzy C-means clustering algorithm based on fuzzy particle swarm optimization for solving data clustering problems von Zhang, Hongkang, Huang, Shao-Lun

“… The fuzzy c-means (FCM) clustering algorithm is adversely affected by its sensitivity to initial values and its low clustering accuracy …”
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Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions von Zhu, Lin, Chung, Fu-Lai, Wang, Shitong

“… In view of its distinctive features in applications and its limitation in having m = 2 only, a recent advance of fuzzy clustering called fuzzy c-means clustering with improved fuzzy partitions (IFP-FCM …”
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A Trend-Granulation Based Fuzzy C-Means Algorithm for Clustering Interval-valued Time Series von Yang, Zonglin, Yu, Fusheng, Pedrycz, Witold, Yang, Huilin, Tang, Yuqing, Ouyang, Chenxi

“… Facing with this issue, this paper aims to generalize the widely used Fuzzy C-Means (FCM) algorithm to a fuzzy trend-granulation based FCM algorithm for ITS clustering …”
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Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm von Alam, Md Shahariar, Rahman, Md Mahbubur, Hossain, Mohammad Amazad, Islam, Md Khairul, Ahmed, Kazi Mowdud, Ahmed, Khandaker Takdir, Singh, Bikash Chandra, Miah, Md Sipon

“… In this paper, we propose a model that includes the template-based K means and improved fuzzy C means (TKFCM …”
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Generalised fuzzy c-means clustering algorithm with local information von Memon, Kashif Hussain, Lee, Dong-Ho

“… Much research has been conducted on fuzzy c-means (FCM) clustering algorithms for image segmentation that incorporate the local neighbourhood information …”
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