Suchergebnisse - fuzzy C-means clustering (FCM) algorithm*

A modified Fuzzy C-Means (FCM) Clustering algorithm and its application on carbonate fluid identification von Liu, Lifeng, Sun, Sam Zandong, Yu, Hongyu, Yue, Xingtong, Zhang, Dong

“… proposes a new fluid identification method in carbonate reservoir based on the modified Fuzzy C-Means (FCM …”
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Overall Optimization for Offshore Wind Farm Electrical System von Hou, Peng, Hu, Weihao, Chen, Cong, Chen, Zhe

“… Based on particle swarm optimization (PSO), an optimization platform for offshore wind farm electrical system (OWFES) is proposed in this paper, where the main …”
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Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c-means (FCM) clustering algorithm von Hussain, Rashid

“… This paper provides an application of Fuzzy c-means (FCM) clustering algorithm to SAR Images …”
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Magnetic Resonance Features of Acquired Immune Deficiency Syndrome Involving Central Nervous System Diseases by Intelligent Fuzzy C-Means Clustering (FCM) Algorithm von Huang, Gang, Chen, Jiaqi, Ge, Yuli, Zhu, Xiaomei, Ding, Meixiao, Chen, Xugao, Qu, Chunsheng

“… This study was aimed to explore the application of fuzzy C-means (FCM) algorithm in MR images of acquired immune deficiency syndrome (AIDS) patients …”
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Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters von Yang, Miin-Shen, Nataliani, Yessica

“… In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the most commonly used clustering method …”
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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

“… ) and fuzzy c-means clustering (FCM) algorithms. However, there are two main problems in PFCM …”
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D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation von Pei, Hua-Xin, Zheng, Zeng-Rong, Wang, Chen, Li, Chun-Na, Shao, Yuan-Hai

“… Fuzzy c-means algorithm (FCM) is a powerful clustering algorithm and it is widely used in image segmentation …”
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Experimental study of particulate products for aging of 1,3,5–trimethylbenzene secondary organic aerosol von Huang, Mingqiang, Lin, Yuehong, Huang, Xianying, Liu, Xingqiang, Guo, Xiaoyong, Hu, Changjin, Zhao, Weixiong, Gu, Xuejun, Fang, Li, Zhang, Weijun

“… ) coupled with Fuzzy C–Means (FCM) clustering algorithm. Experimental results demonstrated that methyl glyoxylic acid, 2–methyl–4–oxo–2–pentenoic acid, 3,5 …”
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Identification of Rock Mass Discontinuity Sets Based on Density Peak Algorithm and Fuzzy C-Means Algorithm von Wu, Qiong, Kang, Qianqian, Tang, Huiming, Zhang, Wen, Liu, Qiang, Qin, Yue, Zhang, Chenxi, Liu, Zhiqi, Zhang, Bo, Lin, Zhiwei

“… However, the conventional fuzzy C-means clustering algorithm (FCM) is sensitive to outliers and initial cluster centers, requires a predetermined cluster number, and tends to converge to local optima …”
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Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage von Zhang, Lintao, Song, Dewen, Qiu, Huiying, Ye, Lin, Xu, Zengliang

“… To enhance the accuracy of ICH detection and segmentation, this study proposed an improved fuzzy C-means (FCM …”
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A Robust Fuzzy Local Information C-Means Clustering Algorithm von Krinidis, Stelios, Chatzis, Vassilios

“… This paper presents a variation of fuzzy c-means (FCM) algorithm that provides image clustering …”
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Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning von Miao, Jiaqing, Zhou, Xiaobing, Huang, Ting-Zhu

“… Image segmentation is an active research topic in image processing. The Fuzzy C-means (FCM) clustering analysis has been widely used in image segmentation …”
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A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering von Wu, Chih-Hung, Ouyang, Chen-Sen, Chen, Li-Wen, Lu, Li-Wei

“… This study discusses the effectiveness of clustering validity indexes for centroid-based partitional clustering algorithms …”
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Automatic Time Picking for Microseismic Data Based on a Fuzzy C-Means Clustering Algorithm von Zhu, Dan, Li, Yue, Zhang, Chao

“… In this letter, we propose a new time picking method based on the fuzzy C-means clustering (FCM) algorithm, which can divide microseismic data into two clusters according to the different levels of similarity between the signals and noise …”
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A hybrid elicit teaching learning based optimization with fuzzy c-means (ETLBO-FCM) algorithm for data clustering von Nayak, Janmenjoy, Naik, Bighnaraj, Kanungo, D.P., Behera, H.S.

“… Since its inception, Fuzzy c-means (FCM) technique has been widely used in data clustering …”
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Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach von Jia, Guangyu, Lam, Hak-Keung, Ma, Shichao, Yang, Zhaohui, Xu, Yujia, Xiao, Bo

“… To lessen the difficulty of classification, clustering methods including subtractive clustering and fuzzy c-means (FCM …”
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Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering von YI Hai, LÜ Zhouan, ZHANG Lingli, CHEN Xi, LIU Dian, HUANG Yuwei, HAN Xingxing, XU Chang

“… In order to reduce the investment cost, an improved fuzzy C-means (FCM) clustering algorithm …”
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Implementation of Fuzzy C-Means (FCM) Clustering Based Camouflage Image Generation Algorithm von Xiao, Weijie, Zhao, Yan, Gao, Xiaohui, Liao, Congwei, Huang, Shengxiang, Deng, Lianwen

“… In this paper, a camouflage generation algorithm based on rectangle blocks scrambling and Fuzzy C-Means (FCM …”
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Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network von Ke, Bo, Nguyen, Hoang, Bui, Xuan-Nam, Bui, Hoang-Bac, Nguyen-Thoi, Trung

“… onto biochar with high accuracy based on the back-propagation neural network (BPNN) and fuzzy C-means clustering algorithm (FCM), named as FCM-BPNN …”
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Bias-correction fuzzy clustering algorithms von Yang, Miin-Shen, Tian, Yi-Cheng

“… In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the most commonly used clustering method …”
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