Suchergebnisse - Weighted fuzzy C-means clustering algorithm

Neighbourhood weighted fuzzy c-means clustering algorithm for image segmentation von Zaixin, Zhao, Lizhi, Cheng, Guangquan, Cheng

“… Fuzzy c-means (FCM) clustering algorithm has been widely used in image segmentation …”
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Generalised kernel weighted fuzzy C-means clustering algorithm with local information von Memon, Kashif Hussain, Lee, Dong-Ho

“… Among them, the kernel weighted fuzzy local information C-means (KWFLICM) algorithm gives robust to noise image segmentation results by using local spatial image …”
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A Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm von Zhang, Wenyuan, Chen, Jun, Huang, Tianyu

“… This new algorithm is called bias-correction fuzzy weighted C-ordered-means (BFWCOM) clustering algorithm …”
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Weighted Intuitionistic Fuzzy C-Means Clustering Algorithms von Kaushal, Meenakshi, Danish Lohani, Q. M., Castillo, Oscar

“… Atanassov intuitionistic fuzzy set (AIFS)-based C -means algorithms are successful in clustering uncertain or vague real-world datasets …”
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A feature-weighted suppressed possibilistic fuzzy c-means clustering algorithm and its application on color image segmentation von Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Xie, Shuang, Lan, Rong

“… The possibilistic fuzzy c-means clustering (PFCM) algorithm is a hybridization of possibilistic c-means clustering (PCM …”
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A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification von Chih-Cheng Hung, Kulkarni, S, Bor-Chen Kuo

“… In this paper, a new weighted fuzzy C-Means (NW-FCM) algorithm is proposed to improve the performance of both FCM and FWCM models for high-dimensional multiclass pattern recognition problems …”
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Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation von Fan, Jianchao, Han, Min, Wang, Jun

“… In this paper, a remote sensing image segmentation procedure that utilizes a single point iterative weighted fuzzy C-means clustering algorithm is proposed based upon the prior information …”
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Patch-Based Fuzzy Local Weighted C-Means Clustering Algorithm with Correntropy Induced Metric for Noise Image Segmentation von Gao, Yunlong, Li, Huidui, Li, Jianpeng, Cao, Chao, Pan, Jinyan

“… In this paper, we present a novel fuzzy clustering algorithm called PFLWCM-CIM algorithm for noise image segmentation by introducing the image patches, the correntropy induced metric (CIM …”
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Global intuitionistic fuzzy weighted C-ordered means clustering algorithm von Kaushal, Meenakshi, Garg, Harish, Lohani, Q.M. Danish

“… ) within a finite space. The paper also presents a new clustering algorithm, called Global Intuitionistic Fuzzy Weighted C-Ordered Means (Global-IFWCOM …”
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A Novel Weighted Fuzzy C –Means Clustering Based on Immune Genetic Algorithm for Intrusion Detection von Ganapathy, S., Kulothungan, K., Yogesh, P., Kannan, A.

“… Since, genetic algorithm is an effective technique to improve the classification accuracy. In this paper, we propose a Novel Weighted Fuzzy C-Means clustering method based on Immune Genetic Algorithm (IGA-NWFCM …”
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An image segmentation method based on a modified local-information weighted intuitionistic Fuzzy C-means clustering and Gold-panning Algorithm von Wei, Dong, Wang, Zhongbin, Si, Lei, Tan, Chao, Lu, Xuliang

“… As an unsupervised clustering algorithm, the fuzzy C-means clustering algorithm is widely used in practical engineering …”
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Local search genetic algorithm-based possibilistic weighted fuzzy c-means for clustering mixed numerical and categorical data von Nguyen, Thi Phuong Quyen, Kuo, R. J., Le, Minh Duc, Nguyen, Thi Cuc, Le, Thi Huynh Anh

“… Thus, this study proposes a local search genetic algorithm-based possibilistic weighted fuzzy c -means (LSGA-PWFCM …”
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Intuitionistic fuzzy c-means clustering algorithm based on a novel weighted proximity measure and genetic algorithm von Hou, Wen-hui, Wang, Yi-ting, Wang, Jian-qiang, Cheng, Peng-Fei, Li, Lin

“… Among the existing soft clustering technologies, as an extension of fuzzy c-means (FCM) algorithm, the intuitionistic FCM …”
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Kernel-Based Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm von Zhang, Wenyuan, Guo, Xijuan, Huang, Tianyu, Liu, Jiale, Chen, Jun

“… The spatial constrained Fuzzy C-means clustering (FCM) is an effective algorithm for image segmentation …”
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Applications Of Feature Weighted Fuzzy C-Means Clustering And Genetic Algorithm Optimization For Load Identification In NILM Systems von Li, Peijie, Du, Qintao, Fan, Yiliang, Huang, Yijie, Liang, Xin, Zhang, Weile

“… consider the different influences of different features on the model performance. In this paper, the Fuzzy C-Means algorithm is improved, considering that different …”
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Classification of the type of eco-geological environment of a coal mine district: A case study of an ecologically fragile region in Western China von Yang, Zhi, Li, Wenping, Pei, Yabing, Qiao, Wei, Wu, Yanli

“… Western China is characterized by abundant coal resources but it also faces the problems of poor water resources and fragile ecological environment, which have …”
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Distributed Clustering in Wireless Sensor Network with Kernel Based Weighted Fuzzy C-Means Algorithm von Panwar, Anita, Nanda, Satyasai Jagannath

“… ), and the proposed algorithm is named as Distributed Kernel-based Weighted Fuzzy C-Means (DKWFCM) algorithm. In wireless sensor networks …”
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Hybrid revised weighted fuzzy c-means clustering with Nelder-Mead simplex algorithm for generalized multisource Weber problem von Kucukdeniz, Tarik, Esnaf, Sakir

“… Purpose The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM …”
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Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm von Wu, Chengmao, Zhang, Xialu, Yan, Shuai

“… To further improve the clustering quality on high dimensional data, this paper makes two improvements of weighted possibilistic fuzzy C-means (WPFCM …”
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Adaptive Weighted Fuzzy C-Means Clustering Algorithm Based on Density Peaks von Ren, Lina, Yao, Maoxuan

“… into a local optimum, which will affect the clustering result. In view of the above problems, this paper proposes an adaptive weighted FCM algorithm based on density peaks …”
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