Suchergebnisse - "Fuzzy C-means clustering algorithm (FCM)"

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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A Machine Vision Based Detection & Classification of Neovascularisation in Retinal Blood Vessels von Sudha, S., Srinivasan, A., Karthik, S., Krishnan, S.Hari, Prakash, S.

“… Diabetic Retinopathy is an eye disease which is caused by excessive sugar level in blood. Insufficient secretion of insulin hormone is the ground for evolution …”
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Two Stage Machine Learning Framework to Identify Periodontitis and Dental Caries von Kausalya, R., Ruth, J. Anitha

“… The X-ray images are preprocessed and segmented using the fuzzy C-means clustering algorithm (FCM …”
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Determination of Injury Rate on Fish Surface Based on Fuzzy C-means Clustering Algorithm and Lab Color Space Using ZED Stereo Camera von Tran, Minh Thien, Kim, Dae Hwan, Kim, Chang Kyu, Kim, Hak Kyeong, Kim, Sang Bong

“… Determination of injury rate on fish surface is one of the major cause for increasing quality of fish on the markets. Detecting injury fishes manually is hard …”
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Method of image segmentation based on Fuzzy C-Means Clustering Algorithm and Artificial Fish Swarm Algorithm von Chu XiaoLi, Zhu Ying, Shi JunTao, Song JiQing

“… By analyzing advantages and disadvantages of Fuzzy C-Means Clustering Algorithm, a method of image segmentation based on Fuzzy C-Means Clustering Algorithm and …”
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Multistage random sampling genetic-algorithm-based fuzzy c-means clustering algorithm von Yun-Ying Dong, Yun-Jie Zhang, Chun-Ling Chang

“… This work presents a multistage random sampling genetic-algorithm-based fuzzy c-means clustering algorithm (called GMRFCM), which can significantly reduce the …”
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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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Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm von Ding, Yi, Fu, Xian

“… Fuzzy c-means clustering algorithm (FCM) is a method that is frequently used in pattern recognition …”
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Deep Possibilistic C-means Clustering Algorithm on Medical Datasets von Gu, Yuxin, Ni, Tongguang, Jiang, Yizhang

“… of fuzzy C-means clustering algorithm (FCM) to noise. However, with the deep integration and development of the Internet of Things (IoT …”
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Improved spatial fuzzy c-means clustering for image segmentation using PSO initialization, Mahalanobis distance and post-segmentation correction von Benaichouche, A.N., Oulhadj, H., Siarry, P.

“… In this paper, we propose an improvement method for image segmentation using the fuzzy c-means clustering algorithm (FCM …”
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Kernel generalized fuzzy c-means clustering with spatial information for image segmentation von Zhao, Feng, Jiao, Licheng, Liu, Hanqiang

“… ) is a novel modified version of the fuzzy c-means clustering algorithm (FCM). GFCM under appropriate parameters can converge more rapidly than FCM …”
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FCM-NPOA: A hybrid Fuzzy C-means clustering with nomadic people optimizer for ovarian cancer detection von Vijayarajan, S M, Purna Chandra Reddy, V, Marlene Grace Verghese, D, Takale, Dattatray G

“… Ovarian cancer is a highly prevalent cancer among women; However, it remains difficult to find effective pharmacological solutions to treat this deadly …”
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MRI Imaging Omics and Risk Factors Analysis of PWMD in Premature Infants Based on Fuzzy Clustering Algorithm von Wang, Xiaofei, Hao, Yuewen, Sun, Huan, Chen, Chao

“… ) in premature infants using the fuzzy c-means clustering algorithm (FCM) is explored, and the influencing factors are further clarified …”
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Applying a particle swarm optimizer controlled by a fuzzy logic controller in a multi-pivot means clustering algorithm von Xia, Xuewen, Li, Minghan, Song, Haojie, Xu, Xing, Zhang, Yinglong

“… The fuzzy c-means clustering algorithm (FCM) has been successfully applied in different fields …”
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D-Optimal design and multi-objective optimization for green extraction conditions developed with ultrasonic probe for oleuropein von Vural, Nilüfer, Algan Cavuldak, Özge, Akay, M. Abdülkadir

“… •High added-value compounds and phytochemicals can be obtained by recovery from olive leaves.•A chemometric study, based on soft computing approaches, can be …”
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Sample selection-based hierarchical extreme learning machine von Xu, Xinzheng, Li, Shan, Liang, Tianming, Sun, Tongfeng

“… •A sample selection algorithm – FCM-Based CNN – is proposed to select highly discriminant samples for image data classification.•A general framework is …”
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Change Detection of Optical Remote Sensing Image Disturbed by Thin Cloud Using Wavelet Coefficient Substitution Algorithm von Yang, Xiaoqian, Jia, Zhenhong, Yang, Jie, Kasabov, Nikola

“… The detection of changes in optical remote sensing images under the interference of thin clouds is studied for the first time in this paper. First, the optical …”
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Short Term Prediction of Photovoltaic Power Based on FCM and CG-DBN Combination von Li, ZhengMing, Bao, ShiQuan, Gao, ZhaoLiang

“… ) to improve Deep Belief Network (DBN). The initial method uses fuzzy C-Means Clustering Algorithm (FCM …”
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Rice Yield Prediction Based on Simulation Zone Partitioning and Dual-Variable Hierarchical Assimilation von He, Jiaoyang, Zhao, Yanxi, He, Ping, Yu, Minglei, Zhu, Yan, Cao, Weixing, Zhang, Xiaohu, Tian, Yongchao

“… In this study, we first extracted high-resolution rice planting areas in Jiangsu Province (JP), then conducted simulation zone partitioning in JP based on the fuzzy c-means clustering algorithm …”
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Delineation of site-specific productivity zones using soil properties and topographic attributes with a fuzzy logic system von Kweon, Giyoung

“… A delineation procedure for site-specific productivity zones was developed with a fuzzy logic system using soil properties obtained from on-the-go electrical …”
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