Search Results - 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 by 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…”
Get full text

Application of multi-class fuzzy support vector machine classifier for fault diagnosis of wind turbine by 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…”
Get full text

Deep neural learning based protein function prediction by 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…”
Get full text

Anisotropic-Gaussian-Kernel-Based Fuzzy Clustering Algorithm for Feature Selection by 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…”
Get full text

Optimizing kernel possibilistic fuzzy C-means clustering using metaheuristic algorithms by Singh, Saumya, Srivastava, Smriti

“… positions within clusters. The paper shows the implementation of metaheuristic algorithms with the kernel possibilistic fuzzy c-means algorithm (KPFCM…”
Get full text

An Improved Dolphin Swarm Algorithm Based on Kernel Fuzzy C-Means in the Application of Solving the Optimal Problems of Large-Scale Function by 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…”
Get full text

Kernel intuitionistic fuzzy c-means and state transition algorithm for clustering problem by 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…”
Get full text

Adaptive kernel fuzzy clustering for missing data by 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…”
Get full text

A Novel Adaptive Kernel Picture Fuzzy C-Means Clustering Algorithm Based on Grey Wolf Optimizer Algorithm by 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…”
Get full text

Taylor kernel fuzzy C-means clustering algorithm for trust and energy-aware cluster head selection in wireless sensor networks by 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…”
Get full text

Membership Affinity Lasso for Fuzzy Clustering by 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…”
Get full text

Distributed Clustering in Wireless Sensor Network with Kernel Based Weighted Fuzzy C-Means Algorithm by 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…”
Get full text

Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms by 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…”
Get full text

A hybrid metaheuristic and kernel intuitionistic fuzzy c-means algorithm for cluster analysis by Kuo, R.J., Lin, T.C., Zulvia, F.E., Tsai, C.Y.

“… This study proposes an evolutionary-based clustering algorithm which combines a metaheuristic with a kernel intuitionistic fuzzy c-means (KIFCM) algorithm…”
Get full text

Parameter-Free Auto-Weighted Possibilistic Fuzzy C-Means Clustering with Kernel Metric and Robust Algorithm by Wu, Chengmao, Zhang, Xialu, Yan, Shuai

“…) clustering, and proposes an adaptive weighted possibilistic fuzzy C-means (KAWPFCM) clustering with kernel metric…”
Get full text

Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels by Shang, Ronghua, Zhang, Weitong, Li, Feng, Jiao, Licheng, Stolkin, Rustam

“…This paper presents a multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels (MAFC…”
Get full text

A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation by 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…”
Get full text

A Kernel-Based Intuitionistic Fuzzy C-Means Clustering Using Improved Multi-Objective Immune Algorithm by 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…”
Get full text

A Novel Kernelized Total Bregman Divergence-Driven Possibilistic Fuzzy Clustering With Multiple Information Constraints for Image Segmentation by 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…”
Get full text

An Intuitionistic Kernel-Based Fuzzy C-Means Clustering Algorithm With Local Information for Power Equipment Image Segmentation by Hu, Fankui, Chen, Haibing, Wang, Xiaofei

“… For traditional Intuitionistic Fuzzy C-means (IFCM) algorithm for image segmentation is sensitive to the clustering center lead to low final clustering precision and detail, the time complexity and the high shortage…”
Get full text