Search Results - "Fuzzy c-mean (FCM) clustering algorithm"

Comprehensive financial analysis of a company relying on fuzzy c-mean (FCM) clustering algorithm by Duan, Jinfen, Sun, Haiyan

“… This paper relies on the fuzzy c-mean (FCM) clustering algorithm, establishes a financial analysis index system through cluster analysis, weight setting, membership calculation and consistency test, and evaluates the five capabilities…”
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Fuzzy Weighted Support Vector Regression With a Fuzzy Partition by Chuang, Chen-Chia

“…The problem of the traditional support vector regression (SVR) approach, referred to as the global SVR approach, is the incapability of interpreting local…”
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A modified Fuzzy C-Means (FCM) Clustering algorithm and its application on carbonate fluid identification by Liu, Lifeng, Sun, Sam Zandong, Yu, Hongyu, Yue, Xingtong, Zhang, Dong

“… proposes a new fluid identification method in carbonate reservoir based on the modified Fuzzy C-Means (FCM…”
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A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering by Wu, Chih-Hung, Ouyang, Chen-Sen, Chen, Li-Wen, Lu, Li-Wei

“…Determining the number of clusters, which is usually approved by domain experts or evaluated by clustering validity indexes, is an important issue in…”
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Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering by YI Hai, LÜ Zhouan, ZHANG Lingli, CHEN Xi, LIU Dian, HUANG Yuwei, HAN Xingxing, XU Chang

“… In order to reduce the investment cost, an improved fuzzy C-means (FCM) clustering algorithm…”
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Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c-means (FCM) clustering algorithm by Hussain, Rashid

“… This paper provides an application of Fuzzy c-means (FCM) clustering algorithm to SAR Images…”
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Two-Phase Approach to International Logistics Hub Location: The Case of Yangtze River Delta by Zhang, Xinfang, Liu, Chengliang, Peng, Yan

“…An international logistics hub (ILH) is an important component of the modern integrated logistics system, and its location selection has always been a hot…”
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Improved Fuzzy C-means Clustering Algorithm Based on Density-Sensitive Distance by WANG Zhihe, WANG Shuyan, DU Hui

“…The Fuzzy C-means(FCM) clustering algorithm cannot identify non-convex data,and its similarity measure based on Euclidean distance only considers the local…”
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基于改进模糊C-均值聚类的陆上风电场集电线路回路划分与拓扑结构优化 by 易海, 吕宙安, 张伶俐, 陈希, 柳典, 黄雨薇, 韩星星, 许昌

“…TK89; [目的]在"双碳"目标以及我国能源结构加速转型的双重驱动下,风电产业规模不断快速增长,亟须降本增效以应对平价上网压力.集电线路的造价在投资中占比较大,存在可观的…”
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Comprehensive application of transfer learning, unsupervised learning and supervised learning in debris flow susceptibility mapping by Gao, Ruiyuan, Wang, Changming, Wu, Di, Liu, Hailiang, Liu, Xiaoyang

“… A transfer learning approach called transfer component analysis (TCA) was utilized to project samples from different study areas into a common latent feature space to form a unified study area. The fuzzy C-mean (FCM…”
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Advanced Fuzzy C-Means Algorithm Based on Local Density and Distance by Wu, Shaochun, Pang, Yijie, Shao, Sen, Jiang, Keyuan

“…This paper presents an advanced fuzzy C-means (FCM) clustering algorithm to overcome the weakness of the traditional FCM algorithm, including the instability…”
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Using fuzzy c-means clustering algorithm in financial health scoring by GOKTEN, Pinar OKAN, BASER, Furkan, GOKTEN, Soner

“…Classification of firms according to their financial health is currently one of the major problems in the literature. To our knowledge, as a first attempt, we…”
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Using fuzzy c-means clustering based on integration of psychological and physiological data for therapeutic music design by Chiu, Ming-Chuan, Hsu, Ya-Wen

“…As people's lives become easier because of conveniences and richer in material assets, they may tend to worsen in terms of mental stress, resulting in physical…”
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Analysis of KDD CUP Dataset Using Multi-Agent Methodology with Effective Fuzzy Based Intrusion Detection System by Dhanalakshmi, K. S., Kannapiran, B.

“…Secure environment construction against the several intrusions is an attractive research area in Wireless Sensor Network (WSN) and Mobile Ad-hoc Network…”
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Fuzzy Clustering Analysis of HVSR Data for Seismic Microzonation at Lahore City by Khan, Sarfraz, Waseem, Muhammad, Khalid, Shahzad, Kontoni, Denise-Penelope N., Ahmad, Mahmood, Keawsawasvong, Suraparb

“…) Nakamura method was implemented. A fuzzy C-mean (FCM) clustering algorithm was adopted to obtain the best cluster solution of the analyzed HVSR parameters…”
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Separation of magnetotelluric signals based on refined composite multiscale dispersion entropy and orthogonal matching pursuit by Zhang, Xian, Li, Jin, Li, Diquan, Li, Yong, Liu, Bei, Hu, Yanfang

“… Then, the RCMDEs for each segment are input to the fuzzy c-mean (FCM) clustering algorithm for automatic identification of the MT signal and noise…”
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Classifying Aerosols Based on Fuzzy Clustering and Their Optical and Microphysical Properties Study in Beijing, China by Zhang, Wenhao, Zheng, Fengjie, Xu, Hui

“…Classification of Beijing aerosol is carried out based on clustering optical properties obtained from three Aerosol Robotic Network (AERONET) sites. The fuzzy c-mean (FCM…”
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Research on optimization of case adaptation and enhancement of knowledge application benefits for multi-decision class cases based on FASS-NRS and SAGA-FCM by Zhang, Jianhua, Li, Liangchen, Boamah, Fredrick Ahenkora, Wen, Dandan, Li, Jiake, Guo, Dandan

“… dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA…”
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Mobile Application to Detect Covid-19 Pandemic by Using Classification Techniques: Proposed System by Al-zubidi, Azhar, F. AL-Bakri, Nadia, K. Hasoun, Rajaa, Hassan Hashim, Soukaena, Alrikabi, Haider Th.Salim

“…Various mobile applications such as Mobile Health (mHealth) have been developed and spread across the world which has played an important role in mitigating…”
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A Fast Accuracy Crystal Identification Method Based on Fuzzy C-Means (FCM) Clustering Algorithm for MicroPET by Xiaowen Kang, Xishan Sun, Shi Wang, Yaqiang Liu, Yan Xia, Rong Zhou, Zhaoxia Wu, Yongjie Jin

“…A high resolution detector is being developed for our small animal position emission tomography (MicroPET). The detector unit consist of 8x8 crystal blocks,…”
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