Suchergebnisse - possibility fuzzy C-means clustering algorithm

Non-destructive Identification of the geographical origin of red jujube by near-infrared spectroscopy and fuzzy clustering methods von Hu, Caiping, Xu, Hongjia, Fu, Zhaoming, Wu, Bin, Zhang, Rui, Zhi, Chenhong

“… ) spectra was performed using several fuzzy clustering methods in combination with principal component analysis (PCA …”
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Fuzzy possibility c-mean clustering algorithms based on complete mahalanobis distances von Hsiang-Chuan Liu, Jeng-Ming Yih, Der-Bang Wu, Shin-Wu Liu

“… Two well known fuzzy partition clustering algorithms, FCM and FPCM are based on Euclidean distance function, which can only be used to detect spherical structural clusters …”
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Finding specific peaks (markers) using fuzzy divisive hierarchical associative-clustering based on the chromatographic profiles of medicinal plant extracts obtained at various detection wavelengths von Simion, Ileana M, MoŢ, Augustin-C, Sârbu, Costel

“… Advanced chemometric methods, such as fuzzy c-means (FCM), a fuzzy divisive hierarchical clustering algorithm (FDHC …”
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A Fuzzy C-Means Clustering-Based Hybrid Multivariate Time Series Prediction Framework With Feature Selection von Zhan, Jianming, Huang, Xianfeng, Qian, Yuhua, Ding, Weiping

“… To address this issue, this article proposes a hybrid MTSP framework based on fuzzy C-means (FCM …”
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Facial expression recognition based on AAM-SIFT and adaptive regional weighting von Ren, Fuji, Huang, Zhong

“… The active appearance model (AAM), one of the most effective facial feature localization methods, is widely used in frontal facial expression recognition …”
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Hybrid clustering algorithm based on ISFLA and PFCM with application to UBSS von Kui, Xia, Wei, Li, Jing, Wang, Xinrui, Hong

“… to the improved Shuffled Frog Leaping Algorithm (SFLA) and Possibility fuzzy C-means (PFCM) clustering algorithm was proposed and applied to the problem of underdetermined blind source separation …”
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HRSUD: Hybrid Roadside Unit Deployment System to Improve Vehicular Communication in VANET von Shrivastava, Prashant Kumar, Kamble, Megha, Shrivastava, Priya, Sharma, Mayank, Singh Tomar, Ranjee

“… Vehicular networks use roadside units (RSUs) to increase vehicles' communication capability to relay tracking messages and/or provide vehicle, driver or …”
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Distributed k -Means Algorithm and Fuzzy c -Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory von Qin, Jiahu, Fu, Weiming, Gao, Huijun, Zheng, Wei Xing

“… This paper is concerned with developing a distributed k-means algorithm and a distributed fuzzy c-means algorithm for wireless sensor networks (WSNs …”
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A possibilistic fuzzy c-means clustering algorithm von Pal, N.R., Pal, K., Keller, J.M., Bezdek, J.C.

“… In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data …”
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Security System for IoT Applications Based on Hybrid Fuzzy Possibility C-Means Clustering von Parmar, Monika, Kaur, Navneet, Tripathy, Ramamani, Singh, Hakam, Gupta, Lipika

“… With improved applications in a variety of industries, the Internet of Things (IoT) and distributed ledger innovation are captivating services and industrial …”
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Clustering of solar energy facilities using a hybrid fuzzy c-means algorithm initialized by metaheuristics von Franco, David Gabriel de Barros, Steiner, Maria Teresinha Arns

“… The objective of the present study is to analyze the possibility of building solar power plants capable of capturing solar energy in unproductive areas, both contaminated and uncontaminated …”
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AN IMPROVED FUZZY CLUSTERING ALGORITHM FOR MICROARRAY IMAGE SPOTS SEGMENTATION von V.G., Biju, P, Mythili

“… Automatic cropping of spots from microarray image is done using these co-ordinates. The present paper proposes an improved fuzzy clustering algorithm Possibility fuzzy local information c means (PFLICM …”
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Importance–Performance Analysis by Fuzzy C-Means Algorithm von Ban, Olimpia I., Ban, Adrian I., Tuşe, Delia A.

“… •We propose a method of fuzzy clustering in Importance–Performance Analysis (IPA).•The fuzzy partition of a set of attributes is obtained by Fuzzy C-Means Algorithm …”
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Solving Capacitated Vehicle Routing Problem by an Improved Genetic Algorithm with Fuzzy C-Means Clustering von Zhu, Ji

“… Aiming at solving the vehicle routing problem, an improved genetic algorithm based on fuzzy C-means clustering (FCM …”
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Possibilistic fuzzy c-means with partial supervision von Antoine, Violaine, Guerrero, Jose A., Romero, Gerardo

“… Amongst the existing clustering algorithms, the possibilistic fuzzy c-means (PFCM) is a well-known algorithm since it generates a possibilistic partition …”
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Soil Liquefaction Assessment by CPT and VS Data and Incomplete-Fuzzy C-Means Clustering von Mohammadikish, Saeideh, Ashayeri, Iman, Biglari, Mahnoosh, Yarmohamadi, Amir

“… This paper investigates the performance of fuzzy c-means clustering of incomplete data for assessing liquefaction potential based on cone penetration test (CPT …”
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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 von 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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Clustering public hospitals based on crisp and fuzzy clustering techniques and probabilistic fuzzy efficiency estimates von Cinaroglu, Songul

“… K-means, fuzzy c-means, and self-organizing map clustering techniques were applied by changing the hyperparameters of these techniques …”
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A Swarm Intelligence Approach to Avoid Local Optima in Fuzzy C-Means Clustering von Fuchs, Caro, Spolaor, Simone, Nobile, Marco S., Kaymak, Uzay

“… One of the most popular algorithms to solve the clustering problem is fuzzy c-means, which exploits notions from fuzzy logic to provide a smooth partitioning of the data into classes, allowing …”
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Application of fuzzy c-means clustering for analysis of chemical ionization mass spectra: insights into the gas phase chemistry of NO3-initiated oxidation of isoprene von Wu, Rongrong, Zorn, Sören R, Kang, Sungah, Kiendler-Scharr, Astrid, Wahner, Andreas, Mentel, Thomas F

“… Oxidation of volatile organic compounds (VOCs) can lead to the formation of secondary organic aerosol (SOA), a significant component of atmospheric fine …”
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