Search Results - "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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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 by 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…”
Get full text