Výsledky vyhledávání - "Weighted fuzzy C-means clustering algorithm"

Generalised kernel weighted fuzzy C-means clustering algorithm with local information Autor Memon, Kashif Hussain, Lee, Dong-Ho

“…To improve the performance of segmentation for the images corrupted by noise, many variants of standard fuzzy C-means (FCM) clustering algorithm have been…”
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Neighbourhood weighted fuzzy c-means clustering algorithm for image segmentation Autor Zaixin, Zhao, Lizhi, Cheng, Guangquan, Cheng

“…Fuzzy c-means (FCM) clustering algorithm has been widely used in image segmentation. In this study, a modified FCM algorithm is presented by utilising local…”
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A New Weighted Fuzzy C-Means Clustering Algorithm for Remotely Sensed Image Classification Autor Chih-Cheng Hung, Kulkarni, S, Bor-Chen Kuo

“…Fuzzy clustering model is an essential tool to find the proper cluster structure of given data sets in pattern and image classification. In this paper, a new…”
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Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation Autor Fan, Jianchao, Han, Min, Wang, Jun

“…In this paper, a remote sensing image segmentation procedure that utilizes a single point iterative weighted fuzzy C-means clustering algorithm is proposed based upon the prior information…”
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Classification of the type of eco-geological environment of a coal mine district: A case study of an ecologically fragile region in Western China Autor Yang, Zhi, Li, Wenping, Pei, Yabing, Qiao, Wei, Wu, Yanli

“…Western China is characterized by abundant coal resources but it also faces the problems of poor water resources and fragile ecological environment, which have…”
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Adaptive Weighted Fuzzy C-Means Clustering Algorithm Based on Density Peaks Autor Ren, Lina, Yao, Maoxuan

“…The initial clustering center and membership matrix of the traditional FCM algorithm are randomly selected, so if there are outliers or uneven distribution of…”
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An Application of a Hybrid Intelligent System for Diagnosing Primary Headaches Autor Simić, Svetlana, Villar, José R., Calvo-Rolle, José Luis, Sekulić, Slobodan R., Simić, Svetislav D., Simić, Dragan

“… important are: Calinski-Harabasz index, Analytical Hierarchy Process, and Weighted Fuzzy C-means Clustering Algorithm…”
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Research on stacking ensemble method for day-ahead ultra-short-term prediction of photovoltaic power Autor Chen, Congcong, Chai, Lin, Wang, Qingling

“…), to improve the accuracy of ultra-short-term forecasting of photovoltaic power. Firstly, a dual layer feature weighted clustering weighted fuzzy C-means clustering…”
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A dynamic predictor selection algorithm for predicting stock market movement Autor Dong, Shuting, Wang, Jianxin, Luo, Hongze, Wang, Haodong, Wu, Fang-Xiang

“…) by using different values of parameters. To evaluate the candidate predictors, we propose a kernel time-weighted fuzzy c-means clustering algorithm (KTFCM…”
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Ride-Hailing Service Pattern Recognition and Demand Prediction: A Reinforcement Ensemble Learning With Fuzzy C-Means Clustering Approach Autor Jin, Kun, Feng, Ziyan, Li, Xiang, Zhang, Fengting

“… Firstly, the feature-weighted fuzzy c-means clustering algorithm is employed to assign appropriate pattern labels to daily demand order sequences…”
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An effective quality analysis of XML web data using hybrid clustering and classification approach Autor Gopianand, M., Jaganathan, P.

“…An effective quality analysis of XML web data using clustering and classification approach is used in our proposed method. XML is turning into a standard in…”
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A Human-Computer Cooperation Fuzzy c-Means Clustering with Interval-Valued Weights Autor Lu, Wei, Zhang, Liyong, Liu, Xiaodong, Yang, Jianhua, Pedrycz, Witold

“…In this paper, a fuzzy c‐means clustering algorithm based on interval‐valued weights is proposed for improving clustering performance. In the proposed…”
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Novel artificial intelligent techniques via AFS theory: Feature selection, concept categorization and characteristic description Autor Liu, Xiaodong, Ren, Yan

“…Artificial intelligence is the study of how computer systems can simulate intelligent processes such as learning, reasoning, and understanding symbolic…”
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FuzzStream: Fuzzy data stream clustering based on the online-offline framework Autor de Abreu Lopes, Priscilla, de Arruda Camargo, Heloisa

“…Systems capable of generating data quickly and continuously, known as data streams, are a reality today and tend to increase. Due to the nature of data…”
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Weighted Fuzzy Clustering Algorithm Based on Max-Min Distance Criterion and Jeffrey Divergence Autor Wang, Hailan, Xie, Xiaolan, Chen, Jili, Liu, Yarong

“…) clustering algorithm. To address this problem, a weighted Fuzzy C-means clustering algorithm based on max-min distance, called the MJ-WFCM algorithm, is proposed…”
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Pre-processing of Froth Image of Coal Flotation Based on Weighted Fuzzy C-Mean Clustering by One-Dimensional Histogram Autor Tian Mu-Ling, Yang Jie-Ming

“…Weighted Fuzzy C-Mean clustering algorithm by one-dimensional histogram can classify accurately pixels of coal flotation froth images into three kinds such as bubble vertex, the bubble surface…”
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Modified Fuzzy C-Means Clustering Approach to Solve the Capacitated Vehicle Routing Problem Autor Wahby Shalaby, Mohamed A., Mohammed, Ayman R., Kassem, Sally

“…Fuzzy C-Means clustering is among the most successful clustering techniques available in the literature. The capacitated vehicle routing problem (CVRP) is one…”
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A new weighted fuzzy c-means based on the collective behaviour of starling birds Autor Motaki, Saloua El, Yahyaouy, Ali, Gualous, Hamid, Sabor, Jalal

“…In this paper, a new weighted fuzzy c-means clustering algorithm is proposed. The presented approach consists of emulating the collective behaviour of starling birds to form homogeneous and well-separated clusters…”
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Segmentation of Exudates and Optic Disk in Retinal Images Autor Kande, G.B., Venkata Subbaiah, P., Satya Savithri, T.

“… In Exudates detection the enhanced segments are extracted based on Spatially Weighted Fuzzy c-Means clustering algorithm…”
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Weighted-covariance factor fuzzy c-means clustering Autor Rammal, Abbas, Perrin, Eric, Vrabie, Valeriu, Bertrand, Isabelle, Chabbert, Brigitte

“…In this paper, we propose a factor weighted fuzzy c-means clustering algorithm. Based on the inverse of a covariance factor, which assesses the collinearity…”
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