Suchergebnisse - "Kernel fuzzy c-means algorithm"

A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation von Long Chen, Chen, C. L. P., Mingzhu Lu

“… In this paper, a generalized multiple-kernel fuzzy C-means (FCM) (MKFCM) methodology is introduced as a framework for image-segmentation problems. In the …”
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Novel modified kernel fuzzy c-means algorithm used for cotton leaf spot detection von Paithane, Pradip, Wagh, Sarita Jibhau

“… Image segmentation is a significant and difficult subject that is a prerequisite for both basic image analysis and sophisticated picture interpretation. In …”
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Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation von Jiang, Wei, Ding, Jianmei, Fang, Xi

“… With respect to the cluster problem of the evaluation information of mass customers in service management, a cluster algorithm of new Gaussian kernel FCM …”
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Efficient Hardware Architecture for Kernel Fuzzy C-Means Algorithm von Hwang, Wen Jyi, Ou, Chien Min, Yang, Ssu Min

“… A novel VLSI architecture for kernel fuzzy c-means algorithm is presented in this paper …”
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Substation clustering based on improved KFCM algorithm with adaptive optimal clustering number selection von Xu, Yanhui, Gao, Yihao, Cheng, Yundan, Sun, Yuhang, Li, Xuesong, Pan, Xianxian, Yu, Hao

“… The premise and basis of load modeling are substation load composition inquiries and cluster analyses. However, the traditional kernel fuzzy C-means (KFCM) …”
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Optimal object detection and tracking in occluded video using DNN and gravitational search algorithm von Mahalingam, T., Subramoniam, M.

“… Initially, the background and foreground separations are done by modified kernel fuzzy c -means algorithm …”
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Clustering Approach Using Multiobjective Non-Dominated Sorting Teaching Learning Based Optimization with Kernel Fuzzy C-Means Algorithm (NSTLBO-KFCM) von Singh, Saumya, Srivastava, Smriti

“… Clustering has evolved over a period and has become more sensitive and precise with the outcomes. No clustering algorithm is suited for all types of data sets, …”
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Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis von Qi, Geqi, Du, Yiman, Wu, Jianping, Xu, Ming

“… To handle the large set of data and discover the valuable knowledge, the data mining techniques including ensemble clustering method based on the kernel fuzzy C-means algorithm and the modified …”
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Segmentation of Glaucoma Disease based on Modified Kernel Fuzzy C-Means Algorithm von Paulchamy, B., Jaya, J.

“… In recent days, retinal diseases are gradually increasing and results in blurred vision, side vision defects and in a worst situation, people may lost their …”
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Brain tumor segmentation based on kernel fuzzy c-means and penguin search optimization algorithm von Raj, J. Relin Francis, Vijayalakshmi, K., Priya, S. Kavi, Appathurai, Ahilan

“… Brain tumor is the irregular growth of cells in the brain that can develop into malignant or benign tumors. However, the prediction of brain tumors is the most …”
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Identification of flight state under different simulator modes using improved diffusion maps von Jia, B., Wei, C.F., Mao, J.F., Law, R., Fu, S., Wu, Q.

“… The proposed method combined diffusion maps and kernel fuzzy c-means algorithm (KFCM) to identify types of flight data …”
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Comparative study on textual data set using fuzzy clustering algorithms von Sadika, Rjiba, Soltani, Moez, Benammou, Saloua

“… ) algorithm, the modified G-G algorithm, the fuzzy c-means algorithm and the kernel fuzzy c-means algorithm …”
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Multiple kernel fuzzy C-means algorithm with ALS method for satellite and medical image segmentation von Yugander, P., Sheshagiri, B. J., Sunanda, K., Susmitha, E.

“… Image segmentation refers to the process of partitioning an image into its constituent parts or objects. The identical images can be segmented manually, but …”
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Neighbor sample membership weighted KFCM algorithm for remote sensing image classification von Xiao Wang, Xiao-Fang Liu

“… Clustering accuracy of the Kernel Fuzzy C-Means (KFCM) algorithm is affected by its equal partition trend for data sets. A Neighbor Sample Membership Weighted …”
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A generalized fuzzy clustering framework for incomplete data by integrating feature weighted and kernel learning von Yang, Ying, Chen, Haoyu, Wu, Haoshen

“… Missing data presents a challenge to clustering algorithms, as traditional methods tend to pad incomplete data first before clustering. To combine the two …”
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Motion Clutter Suppression for Non-Cooperative Target Identification Based on Frequency Correlation Dual-SVD Reconstruction von He, Weikun, Luo, Yichuan, Shang, Xiaoxiao

“… Non-cooperative targets, such as birds and unmanned aerial vehicles (UAVs), are typical low-altitude, slow, and small (LSS) targets with low observability …”
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PSO‐optimized Pareto and Nash equilibrium gaming‐based power allocation technique for multistatic radar network von Harikala, Thoka, Satya Narayana, Ravinutala

“… First, the radars are clustered using the kernel fuzzy C‐means algorithm. Next, cooperative and noncooperative clusters are extracted based on the distance measured using the kernel fuzzy C‐means algorithm …”
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Detection of Moving Objects Using Multi-channel Kernel Fuzzy Correlogram Based Background Subtraction von Chiranjeevi, Pojala, Sengupta, Somnath

“… In this paper, we examine the suitability of correlogram for background subtraction, as a step towards moving object detection. Correlogram captures …”
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Electricity theft detection in low-voltage stations based on similarity measure and DT-KSVM von Kong, Xiangyu, Zhao, Xin, Liu, Chao, Li, Qiushuo, Dong, DeLong, Li, Ye

“… ) is proposed in the paper. Firstly, the condensed feature set is devised based on feature selection strategy, typical power consumption characteristic curves of users are obtained based on kernel fuzzy C-means algorithm (KFCM …”
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Stationarity test and Bayesian monitoring strategy for fault detection in nonlinear multimode processes von Zhang, Shumei, Zhao, Chunhui

“… First, the adjoined multiple local models are constructed in high-dimensional kernel space to extract within-mode information through kernel fuzzy c-means algorithm and kernel principal components …”
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