Výsledky vyhledávání - "Fuzzy C-Means algorithm"

Unconstrained Fuzzy C-Means Algorithm Autor Nie, Feiping, Zhang, Runxin, Yu, Weizhong, Li, Xuelong

“…Fuzzy C-Means algorithm (FCM) is one of the most commonly used fuzzy clustering algorithm, which uses the alternating optimization algorithm to update the membership matrix and the cluster center matrix…”
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A fuzzy C-means algorithm for optimizing data clustering Autor Hashemi, Seyed Emadedin, Gholian-Jouybari, Fatemeh, Hajiaghaei-Keshteli, Mostafa

“…Big data has increasingly become predominant in many research fields affecting human knowledge, including medicine and engineering. Cluster analysis, or…”
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Distributed k -Means Algorithm and Fuzzy c -Means Algorithm for Sensor Networks Based on Multiagent Consensus Theory Autor 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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From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy c-means Algorithm Autor Li, Hongzong, Wang, Jun

“… In contrast to hard clustering, the cluster membership of data generated using the fuzzy c-means algorithm is ambiguous…”
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Pythagorean fuzzy C‐means algorithm for image segmentation Autor Ma, Rong, Zeng, Wenyi, Song, Guangcheng, Yin, Qian, Xu, Zeshui

“…In recent decades, image segmentation has aroused great interest of many researchers, and has become an important part of machine learning, pattern…”
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Importance–Performance Analysis by Fuzzy C-Means Algorithm Autor 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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ECM: An evidential version of the fuzzy c-means algorithm Autor Masson, Marie-Hélène, Denœux, T.

“…A new clustering method for object data, called ECM (evidential c-means) is introduced, in the theoretical framework of belief functions. It is based on the…”
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Robust Federated Fuzzy C-Means Algorithm in Heterogeneous Scenarios Autor Zhang, Qixian, Deng, Zhaohong, Zhang, Wei, Zhao, Zhuangzhuang, Xiao, Zhiyong, Choi, Kup-Sze, Wang, Guanjin, Ge, Yuxi, Hu, Shudong

“…The federated fuzzy C-means (federated FCM) extends the traditional Fuzzy C-means (FCM) to the federated learning (FL) scenario, aiming to address the data…”
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Linear Fuzzy Information-Granule-Based Fuzzy C-Means Algorithm for Clustering Time Series Autor Yang, Zonglin, Jiang, Shurong, Yu, Fusheng, Pedrycz, Witold, Yang, Huilin, Hao, Yadong

“…This article aims to design a trend-oriented-granulation-based fuzzy <inline-formula> <tex-math notation="LaTeX">C </tex-math></inline-formula>-means (FCM)…”
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Intuitionistic Fuzzy C-Means Algorithm Based on Membership Information Transfer-Ring and Similarity Measurement Autor Chen, Haipeng, Xie, Zeyu, Huang, Yongping, Gai, Di

“… Therefore, an intuitionistic fuzzy C-means algorithm based on membership information transferring and similarity measurements (IFCM-MS…”
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A Trend-Granulation Based Fuzzy C-Means Algorithm for Clustering Interval-valued Time Series Autor Yang, Zonglin, Yu, Fusheng, Pedrycz, Witold, Yang, Huilin, Tang, Yuqing, Ouyang, Chenxi

“…Along with the abundant appearance of interval-valued time series (ITS), the study on ITS clustering, especially on shape-based ITS clustering, is becoming…”
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General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering Autor Linda, O., Manic, M.

“…Pattern recognition in real-world data is subject to various sources of uncertainty that should be appropriately managed. The focus of this paper is the…”
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A modified intuitionistic fuzzy c-means algorithm incorporating hesitation degree Autor Verma, Hanuman, Gupta, Akshansh, Kumar, Dhirendra

“…•We proposed mIFCM algorithm to overcome the problem of the IFCM algorithms.•The mIFCM includes the hesitation degree in the centroids and membership…”
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Typical Characteristic-Based Type-2 Fuzzy C-Means Algorithm Autor Yang, Xiyang, Yu, Fusheng, Pedrycz, Witold

“…Type-2 fuzzy sets provide an efficient vehicle for handling uncertainties of real-world problems, including noisy observations. Bringing type-2 fuzzy sets to…”
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Oppositional tunicate fuzzy C‐means algorithm and logistic regression for intrusion detection on cloud Autor Kanimozhi, P., Aruldoss Albert Victoire, T.

“…Summary Cloud computing is the most popular emerging computational model in information technology. The data communication security requirement is increased…”
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Feature selection strategy based on hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm for medical diagnosis problems Autor Anter, Ahmed M., Ali, Mumtaz

“… In this paper, we designed a hybrid crow search optimization algorithm integrated with chaos theory and fuzzy c-means algorithm denoted as CFCSA for feature selection problems of medical diagnosis…”
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A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET Autor Belhassen, Saoussen, Zaidi, Habib

“…Purpose: Accurate and robust image segmentation was identified as one of the most challenging issues facing PET quantification in oncological imaging. This…”
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PR-FCM: A polynomial regression-based fuzzy C-means algorithm for attribute-associated data Autor Pang, Yong, Shi, Maolin, Zhang, Liyong, Song, Xueguan, Sun, Wei

“…•A novel fuzzy c-means algorithm is proposed for attribute-associated data clustering…”
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A Multiple-Kernel Fuzzy C-Means Algorithm for Image Segmentation Autor 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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Sensor deployment strategy using cluster analysis of Fuzzy C-Means Algorithm: Towards online control of indoor environment’s safety and health Autor Cao, Shi-Jie, Ding, Junwei, Ren, Chen

“…[Display omitted] •Providing sensor deployment strategy for indoor environment control by using clustering method of Fuzzy C-means algorithm…”
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