Výsledky vyhledávání - kernel function optimization fuzzy c clustering algorithm~

An anomaly analysis method for measurement data based on similarity metric and improved deep reinforcement learning under the power Internet of Things architecture Autor Chen, Ximing, Gan, Yeping, Ren, Min, Ji, Aiqiong, Ding, Jianshun, Ma, Kun

“… Then, on the edge side, a kernel function is used to optimize the fuzzy C clustering algorithm to obtain data feature curves and possible abnormal samples are screened out through similarity metric…”
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Application of multi-class fuzzy support vector machine classifier for fault diagnosis of wind turbine Autor Hang, Jun, Zhang, Jianzhong, Cheng, Ming

“… FSVM is used for solving classification problem with outliers or noises, where kernel fuzzy c-means clustering algorithm and particle swarm optimization algorithm are applied to calculate fuzzy…”
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Anisotropic-Gaussian-Kernel-Based Fuzzy Clustering Algorithm for Feature Selection Autor Liu, Jun, Wu, Mengyuan, Lin, Mingwei, Xu, Zeshui

“…Soft clustering algorithms based on fuzzy C-means (FCM) have been extensively applied to complex data analysis…”
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Deep neural learning based protein function prediction Autor Xu, Wenjun, Zhao, Zihao, Zhang, Hongwei, Hu, Minglei, Yang, Ning, Wang, Hui, Wang, Chao, Jiao, Jun, Gu, Lichuan

“…) and Intuitionistic Fuzzy c-Means clustering (IFCM) based protein function modules extracting algorithm to extract the features of protein modules, utilizing Kernel Principal Component Analysis (KPCA…”
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Adaptive kernel fuzzy clustering for missing data Autor Rodrigues, Anny K. G., Ospina, Raydonal, Ferreira, Marcelo R. P.

“… This work aims to propose and evaluate a Kernel Fuzzy C-means clustering algorithm considering the kernelization of the metric with local adaptive distances (VKFCM-K-LP…”
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Optimizing kernel possibilistic fuzzy C-means clustering using metaheuristic algorithms Autor Singh, Saumya, Srivastava, Smriti

“… positions within clusters. The paper shows the implementation of metaheuristic algorithms with the kernel possibilistic fuzzy c-means algorithm (KPFCM…”
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A new ECG beat clustering method based on kernelized fuzzy c-means and hybrid ant colony optimization for continuous domains Autor Doğan, Berat, Korürek, Mehmet

“… ► Also by encoding the σ parameter of the Gaussian kernel function in solution table, a possible decrease in the classification performance of the kernelized fuzzy c-means algorithm for large number of clusters is prevented…”
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Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem Autor Zhou, Xiaojun, Zhang, Rundong, Wang, Xiangyue, Huang, Tingwen, Yang, Chunhua

“… Although many clustering algorithms have been proposed, it is unpractical to find a clustering algorithm suitable for all types of datasets. Fuzzy c-means (FCM…”
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A Novel Adaptive Kernel Picture Fuzzy C-Means Clustering Algorithm Based on Grey Wolf Optimizer Algorithm Autor Yang, Can-Ming, Liu, Ye, Wang, Yi-Ting, Li, Yan-Ping, Hou, Wen-Hui, Duan, Sheng, Wang, Jian-Qiang

“… Various fuzzy clustering algorithms have been put forward based on the initial Fuzzy C-Means clustering (FCM…”
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An Improved Dolphin Swarm Algorithm Based on Kernel Fuzzy C-Means in the Application of Solving the Optimal Problems of Large-Scale Function Autor Qiao, Weibiao, Yang, Zhe

“…The solution of high dimensional function has always been a hot topic. In this paper, a novel algorithm based on Kernel Fuzzy C-means and dolphin swarm algorithm are proposed to solve high-dimensional functions more accurately…”
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Membership Affinity Lasso for Fuzzy Clustering Autor Guo, Li, Chen, Long, Lu, Xiliang, Chen, C. L. Philip

“… Such constraints on the affinities of memberships are valuable prior knowledge that should be imposed to the objective function of fuzzy clustering for better…”
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Distributed Clustering in Wireless Sensor Network with Kernel Based Weighted Fuzzy C-Means Algorithm Autor 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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A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation Autor Hou, Guolian, Wang, Junjie, Fan, Yuzhen, Zhang, Jianhua, Huang, Congzhi

“… Initially, the original wind power data undergo cleaning using the quartile method and the fuzzy C-means (FCM…”
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A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image Segmentation Autor Wu, Chengmao, Zhang, Xue

“…Aiming at the problem that existing robust fuzzy clustering algorithms are still sensitive to high noise, a total Bregman divergence-driven possibilistic fuzzy clustering with multiple information…”
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Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm Autor Wu, Chengmao, Zhang, Xialu, Yan, Shuai

“…) clustering, and proposes an adaptive weighted possibilistic fuzzy C-means (KAWPFCM) clustering with kernel metric…”
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Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms Autor Czarnowski, Ireneusz, Jedrzejowicz, Joanna, Jedrzejowicz, Piotr

“… The above problem is known to be NP-hard, and hence, not easily solvable. The traditional approach for deciding on the number of hidden units is based on applying the k-means algorithm for calculating cluster centroids…”
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Taylor kernel fuzzy C-means clustering algorithm for trust and energy-aware cluster head selection in wireless sensor networks Autor Augustine, Susan, Ananth, J. P.

“… Thus, the paper introduces a cluster head (CH) selection phenomenon based on the algorithm, Taylor kernel fuzzy C-means (Taylor KFCM…”
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A Kernel-Based Intuitionistic Fuzzy C-Means Clustering Using Improved Multi-Objective Immune Algorithm Autor Zang, Wenke, Wang, Zehua, Jiang, Dong, Liu, Xiyu

“… In this paper, a kernel-based intuitionistic fuzzy C-means clustering using improved multi-objective artificial immune algorithm (KIFCM-IMOIA) is proposed…”
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A User-Transformer Relation Identification Method Based on QPSO and Kernel Fuzzy Clustering Autor Xiao, Yong, Jin, Xin, Yang, Jingfeng, Shen, Yanhua, Guan, Quansheng

“… First, based on the fuzzy C-means clustering algorithm (FCM), the quantum particle swarm optimization (PSO…”
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Fuzzy clustering with the entropy of attribute weights Autor Zhou, Jin, Chen, Long, Chen, C.L. Philip, Zhang, Yuan, Li, Han-Xiong

“… To extract the important features and improve the clustering, the maximum-entropy-regularized weighted fuzzy c-means (EWFCM…”
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