Výsledky vyhledávání - "fuzzy C-means clustering algorithm"

Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development Autor Askari, Salar

“…•RFCM algorithm removes drawbacks of the FCM algorithm.•RFCM algorithm eliminates interactions among clusters.•RFCM algorithm is suitable for data highly…”
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Fuzzy C-Means Clustering Algorithm-Based Magnetic Resonance Imaging Image Segmentation for Analyzing the Effect of Edaravone on the Vascular Endothelial Function in Patients with Acute Cerebral Infarction Autor Yin, Jie, Chang, Hong, Wang, Dongmei, Li, Haifei, Yin, Aibing

“…). 90 patients with ACI diagnosed in hospital from December 2018 to December 2019 were selected as subjects, who were divided into combined treatment group…”
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Novel modified kernel fuzzy c-means algorithm used for cotton leaf spot detection Autor 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…”
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Comparison of clustering algorithms on generalized propensity score in observational studies: a simulation study Autor Tu, Chunhao, Jiao, Shuo, Koh, Woon Yuen

“… This study demonstrates how clustering algorithms can be used to group similar subjects based on transformed GPS…”
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Intrusion detection based on the semi-supervised Fuzzy C-Means clustering algorithm Autor Feng Guorui, Zou Xinguo, Wu Jian

“… The KDD CUP99 data set is adopted as the experimental subject. The result proves that the attack behaviors can be more efficiently found from the network data by the semi-supervised FCM clustering algorithm…”
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Integration of smart insoles for gait assessment in exoskeleton assisted rehabilitation Autor D’Arco, Luigi, Wang, Haiying, Zheng, Huiru

“… Ten participants, including three unimpaired subjects used only as a reference, one stroke, one spinal cord injury, one traumatic brain injury, and four multiple sclerosis subjects were involved…”
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Adaptive neighbor constrained deviation sparse variant fuzzy c-means clustering for brain MRI of AD subject Autor Ghosh, Sukanta, Hazarika, Amlan Pratim, Chandra, Abhijit, Mudi, Rajani K.

“…) and enlargement of lateral ventricle (LV). The early stage of AD, mild cognitive impairment (MCI), can be traced by diagnosing brain MRI scans with advanced fuzzy c-means clustering algorithm that helps to take an appropriate intervention…”
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Assessment of Median Nerve Mobility by Ultrasound Dynamic Imaging for Diagnosing Carpal Tunnel Syndrome Autor Kuo, Tai-Tzung, Lee, Ming-Ru, Liao, Yin-Yin, Chen, Jiann-Perng, Hsu, Yen-Wei, Yeh, Chih-Kuang

“… The purpose of this study was to estimate the transverse sliding patterns of the median nerve during finger movements by analyzing ultrasound dynamic images to distinguish between normal subjects and CTS patients…”
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Exploring the relationship between immune heterogeneity characteristic genes of rheumatoid arthritis and acute myeloid leukemia Autor Jiang, Chengzhi, Jiang, Wenjuan, Liu, Pengtao, Sun, Wenxue, Teng, Wenjie

“… The final immune heterogeneity characteristics of RA were determined through ssGSEA analysis, gene differential expression analysis, fuzzy c-means clustering algorithm, and XGboost algorithm…”
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A Continuous Clustering Algorithm for Detection of Local Sleep in Humans Autor Chelaru, Mircea I, Slater, Jeremy D

“…Research in animal models has shown that many EEG sleep features reflect local conditions, which is a consequence of relative inactivity of neuronal clusters…”
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MRI Imaging Omics and Risk Factors Analysis of PWMD in Premature Infants Based on Fuzzy Clustering Algorithm Autor Wang, Xiaofei, Hao, Yuewen, Sun, Huan, Chen, Chao

“…) in premature infants using the fuzzy c-means clustering algorithm (FCM) is explored, and the influencing factors are further clarified…”
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Mindfulness intervention for improving cognitive abilities using EEG signal Autor Gupta, Shankar S., Manthalkar, Ramchandra R., Gajre, Suhas S.

“…) signal of 40 subjects. Total subjects are equally divided into two groups. Twenty in a group…”
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Differentiation of early mild cognitive impairment in brainstem MR images using multifractal detrended moving average singularity spectral features Autor Rohini, P., Sundar, S., Ramakrishnan, S.

“…•Segmented brainstem volume is utilized for the analysis of multifractal features in EMCI condition.•Brainstem volume segmentation is carried out using Fuzzy…”
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Intelligent electrocardiogram pattern classification and recognition using low-cost cardio-care system Autor Sutar, Rajendra G, Kothari, Ashwin G

“…Electrocardiogram (ECG) contains detailed information regarding incidental abnormality of a subject…”
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Distribution System Reconfiguration for Annual Energy Loss Reduction Considering Variable Distributed Generation Profiles Autor Tahboub, Ahmad M., Pandi, V. Ravikumar, Zeineldin, H. H.

“… A fuzzy C-means clustering algorithm is used to obtain representative centroids from annual DG and power demand profiles…”
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Fuzzy Similarity K-Type Prototype Algorithm and Marketing Methods Autor Tian, Chuan, Wan, Huan, Wu, Ye

“…In the field of user feature segmentation, the currently adopted segmentation methods have the defect of low segmentation accuracy. To address this problem,…”
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Fuzzy clustering-based discretization for gene expression classification Autor Kianmehr, Keivan, Alshalalfa, Mohammed, Alhajj, Reda

“… A fuzzy discretization technique based on fuzzy c-means clustering algorithm is employed to transform the training set, particularly quantitative attributes, to a format appropriate for association rule mining…”
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Shannon entropy and fuzzy C-means weighting for AI-based diagnosis of vertebral column diseases Autor Alafeef, Maha, Fraiwan, Mohammad, Alkhalaf, Hussain, Audat, Ziad

“…; disc prolapse and spondylolisthesis. We collected raw data from real X-ray images of 422 subjects (i.e…”
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Lung Segmentation and Iterative Weighted Averaging Smoothing Technique on Chest Ct Images Autor Sridevi, C., Kannan, Dr. M.

“…Computed Tomography (CT) is one of the most commonly used imaging modalities for tumour detection and diagnosis, due to its high spatial resolution, fast…”
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Assessment of Median Nerve Mobility by Ultrasound Dynamic Imaging for Diagnosing Carpal Tunnel Syndrome: e0147051 Autor Kuo, Tai-Tzung, Lee, Ming-Ru, Liao, Yin-Yin, Chen, Jiann-Perng, Hsu, Yen-Wei, Yeh, Chih-Kuang

“… The purpose of this study was to estimate the transverse sliding patterns of the median nerve during finger movements by analyzing ultrasound dynamic images to distinguish between normal subjects and CTS patients…”
Získat plný text