Search Results - "Fuzzy C-Means algorithm"

General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering by Linda, O., Manic, M.

“…Pattern recognition in real-world data is subject to various sources of uncertainty that should be appropriately managed…”
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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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The Risk Cluster in Type 2 Diabetes Mellitus Based on Risk Parameters Using Fuzzy C-Means Algorithm

“… This study used 905 subjects’ data consisting of 562 males and 343 females. After the data preprocessing, the optimal number of clusters was determined using a Fuzzy C-Means algorithm process…”
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An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities by Pham, Dzung L., Prince, Jerry L.

“… The algorithm is formulated by modifying the objective function in the fuzzy C-means algorithm to include a multiplier field, which allows the centroids for each class to vary across the image…”
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Application of fuzzy C-Means Algorithm for Determining Field of Interest in Information System Study STTH Medan by Syahputra, Edy Rahman, Dalimunthe, Yulia Agustina, Irvan

“… This research aims to apply Clustering method with Fuzzy C-means algorithm to classify students in the chosen interest field…”
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Fuzzy C-Means Algorithm for Grouping Students Based on Preferences and Academic Potential by Urva, Gellysa, Desriyati, Welly

“… (Science, Arts, Business) and academic grades in related subjects. The clustering results show…”
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A robust classification to predict learning styles in adaptive E-learning systems by Azzi, Ibtissam, Jeghal, Adil, Radouane, Abdelhay, Yahyaouy, Ali, Tairi, Hamid

“…In E-Learning Systems, the automatic detection of the learners’ learning styles provides a concrete way for instructors to personalize the learning to be made…”
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Computer Aided Diagnosis Based Hand Thermal Image Analysis: A Potential Tool for the Evaluation of Rheumatoid Arthritis by Umapathy, Snekhalatha, Vasu, Sowmiya, Gupta, Nilkantha

“…The aim of the study was to evaluate the potential of the thermogram in diagnosing rheumatoid arthritis and to compare the implementation of k-means algorithm and fuzzy c means algorithm using…”
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An algorithm for 2D radar to ESM correlation based on fuzzy data association by Gu En-Ting, Tan Yu-Lei, Yu Zhi-Cheng, Zhou Xi-Wa, Yu Yong

“…The radar to Electronic Support Measurement (ESM) correlation problem is an important subject of military multi-sensory data fusion…”
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Image back-light compensation with fuzzy C-means learning algorithm and fuzzy inferencing by Daw-Tung Lin, Chia-Ching Huang

“… The advantages of this approach are: (1) the subject region can be compensated independently, (2) the brightness of subject region can be enhanced without interference of the background…”
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Population of 224 realistic human subject‐based computational breast phantoms by Erickson, David W., Wells, Jered R., Sturgeon, Gregory M., Samei, Ehsan, Dobbins, James T., Segars, W. Paul, Lo, Joseph Y.

“… A 3D adipose nonuniformity (bias field) correction was then applied followed by glandular segmentation using a 3D bias‐corrected fuzzy C‐means algorithm…”
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Topography mapping of whole body adipose tissue using A fully automated and standardized procedure by Würslin, Christian, Machann, Jürgen, Rempp, Hansjörg, Claussen, Claus, Yang, Bin, Schick, Fritz

“… The images were segmented using a modified fuzzy c‐means algorithm. A separation of the body into anatomic regions along the body axis was performed to define regions with visceral adipose tissue present, and to standardize the results…”
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Age- and race-dependence of the fibroglandular breast density analyzed on 3D MRI by Nie, Ke, Su, Min-Ying, Chau, Man-Kwun, Chan, Siwa, Nguyen, Hoanglong, Tseng, Tiffany, Huang, Yuhong, McLaren, Christine E., Nalcioglu, Orhan, Chen, Jeon-Hor

“… Computer algorithms based on body landmarks were used to segment the breast, and fuzzy c-means algorithm was used to segment the fibroglandular tissue…”
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Extraction of fluorescent cell puncta by adaptive fuzzy segmentation by Pham, Tuan D., Crane, Denis I., Tran, Tuan H., Nguyen, Tam H.

“…Motivation: The discrimination and measurement of fluorescent-labeled vesicles using microscopic analysis of fixed cells presents a challenge for biologists…”
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Dedicated breast CT: Fibroglandular volume measurements in a diagnostic population by Vedantham, Srinivasan, Shi, Linxi, Karellas, Andrew, O’Connell, Avice M.

“… The study was conducted in adherence to a protocol approved by the institutional human subjects review boards and written informed consent was obtained from all study participants…”
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Behavior Evaluation Based on Electroencephalograph and Personality in a Simulated Driving Experiment by Ding, Changhao, Liu, Mutian, Wang, Yi, Yan, Fuwu, Yan, Lirong

“…Assessments and predictions of driving behavior are very important to improve traffic safety. We hypothesized that there were some patterns of driving…”
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Identification and classification of toe-walkers based on ankle kinematics, using a data-mining method by Armand, Stéphane, Watelain, Eric, Mercier, Moïse, Lensel, Ghislaine, Lepoutre, François-Xavier

“… A fuzzy c-means algorithm was used to identify sagittal ankle kinematic patterns and three groups were identified…”
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Quantifying choriocapillaris flow deficits using global and localized thresholding methods: a correlation study by Chu, Zhongdi, Zhang, Qinqin, Zhou, Hao, Shi, Yingying, Zheng, Fang, Gregori, Giovanni, Rosenfeld, Philip J, Wang, Ruikang K

“…) as the global thresholding while the second method utilized fuzzy C-means algorithm (FCM method) with local thresholding…”
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Analysis of College Students’ Ability to Improve Innovation and Entrepreneurship Based on Constrained Clustering Algorithm by Shi, Chen

“…: in the selection stage, the fuzzy c-means algorithm is used to obtain the membership of all samples, then calculate their Shannon entropy, and finally, select the sample with large Shannon entropy…”
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Multiatlas Fusion with a Hybrid CT Number Correction Technique for Subject-Specific Pseudo-CT Estimation in the Context of MRI-Only Radiation Therapy by Boukellouz, Wafa, Moussaoui, Abdelouahab, Taleb-Ahmed, Abdelmalik, Boydev, Christine

“… from segmented MR images with the fuzzy c-means algorithm and combines them in a weighted fashion to correct…”
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