Search Results - prior entropy fuzzy C-Means clustering algorithm*

Automatic segmentation algorithm for high-spatial-resolution remote sensing images based on self-learning super-pixel convolutional network

Authors: Zenan Yang Haipeng Niu Liang Huang et al.

Source: International Journal of Digital Earth, Vol 15, Iss 1, Pp 1101-1124 (2022)

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, Mathematical geography. Cartography, 02 engineering and technology, deep convolution neural network model, prior entropy fuzzy c-means clustering algorithm, super-pixel algorithm, remote sensing images, GA1-1776, automatic fuzzy clustering

Access URL: https://doaj.org/article/45a02a81335a4590a41ee6d308f2e7c1

Clustering Validity Evaluation Functions of Fuzzy C-means Clustering Algorithm.

Authors: Guan Wang Cheng Xing Jie-Sheng Wang et al.

Source: IAENG International Journal of Computer Science. Jun2022, Vol. 49 Issue 2, p453-462. 10p.

Subject Terms: Algorithms, Data mining, Machine learning, Fuzzy algorithms, Prior learning

Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage.

Authors: Zhang, Lintao Song, Dewen Qiu, Huiying et al.

Source: Frontiers in Neuroinformatics; 2024, p1-14, 14p

Subject Terms: CONVOLUTIONAL neural networks, CEREBROVASCULAR disease, INTRACRANIAL hemorrhage, COMPUTED tomography, CEREBRAL hemorrhage

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement.

Authors: Zeyu, Xie Xiao, Luo Defang, Zhao et al.

Source: IET Image Processing (Wiley-Blackwell); 1/10/2024, Vol. 18 Issue 1, p140-153, 14p

Subject Terms: PIXELS, IMAGE segmentation, ALGORITHMS, FUZZY algorithms, BRAIN tumors, INFORMATION measurement, INFORMATION resources

Adaptive fuzzy weighted C-mean image segmentation algorithm combining a new distance metric and prior entropy.

Authors: Song, Sensen Jia, Zhenhong Shi, Fei et al.

Source: Engineering Applications of Artificial Intelligence. May2024, Vol. 131, pN.PAG-N.PAG. 1p.

Subject Terms: *FUZZY algorithms, *EUCLIDEAN metric, *ENTROPY, *ALGORITHMS, *EUCLIDEAN distance, *IMAGE segmentation

Obstructive Sleep Apnea Detection from EEG Data: A Hybrid Approach of One-Dimensional Convolutional Neural Network and Enhanced Fuzzy C-Means Clustering Algorithm.

Authors: Pratyasha, Prateek Gupta, Saurabh

Source: Sleep & Vigilance; Dec2024, Vol. 8 Issue 2, p231-243, 13p

3-D Gravity Anomaly Inversion Based on Improved Guided Fuzzy C-Means Clustering Algorithm.

Authors: Liu, Sheng Jin, Shuanggen

Source: Pure & Applied Geophysics. Feb2020, Vol. 177 Issue 2, p1005-1027. 23p.

Subject Terms: *GRAVITY anomalies, *FUZZY algorithms, *INTERNAL structure of the Earth, *PARAMETRIC processes, *INVERSION (Geophysics), *SEARCH algorithms, *ALGORITHMS, *PETROPHYSICS

A radar signal sorting algorithm based on intra-pulse multidimensional feature fusion.

Authors: Zhao, Yaqin Liu, Yuchen Wang, Qi et al.

Source: AEU: International Journal of Electronics & Communications. Nov2025, Vol. 201, pN.PAG-N.PAG. 1p.

Subject Terms: *RADAR signal processing, *FUZZY clustering technique, *SIGNAL processing, *HARDWARE-in-the-loop simulation, *CLUSTERING algorithms, *SIGNAL integrity (Electronics), *MILITARY electronics

Overflow remote warning using improved fuzzy c-means clustering in IoT monitoring system based on multi-access edge computing.

Authors: Liang, Haibo Liu, Gang Gao, Jianchong et al.

Source: Neural Computing & Applications. Oct2020, Vol. 32 Issue 19, p15399-15410. 12p.

Subject Terms: *COMBINED sewer overflows, *CLOUD computing, *INFORMATION theory, *ALGORITHMS, *OIL wells, *COMPUTING platforms, *FLOOD warning systems

Classification of human monkeypox with the Fuzzy C-Means Algorithm using image processing methods and Haralick texture parameters.

Alternate Title: Görüntü işleme yöntemleri ve Haralick doku parametreleri kullanılarak insandaki maymun çiçeği hastalığının Bulanık C-Ortalamalar Algoritması ile sınıflandırılması. (Turkish)

Authors: Gonenc, Senem Pasin, Ozge

Source: Anatolian Clinic Journal of Medical Sciences; Jan2025, Vol. 30 Issue 1, p82-92, 11p

Automatic segmentation algorithm for high-spatial-resolution remote sensing images based on self-learning super-pixel convolutional network.

Authors: Yang, Zenan Niu, Haipeng Huang, Liang et al.

Source: International Journal of Digital Earth; Jan2022, Vol. 15 Issue 1, p1101-1124, 24p

Subject Terms: FUZZY algorithms, REMOTE sensing, IMAGE segmentation, FUZZY neural networks, CONVOLUTIONAL neural networks, ALGORITHMS, FEATURE extraction

Enhancing Medical Image Segmentation and Classification Using a Fuzzy-Driven Method.

Authors: Abduvaitov, Akmal Shavkatovich Buriboev, Abror Sultanov, Djamshid et al.

Source: Sensors (14248220); Sep2025, Vol. 25 Issue 18, p5931, 28p

Subject Terms: IMAGE segmentation, TUMOR classification, ROUTINE diagnostic tests, FUZZY algorithms, CONVOLUTIONAL neural networks, IMAGE quality analysis, COMPUTED tomography

Automatic Fuzzy Clustering Framework for Image Segmentation.

Authors: Lei, Tao Liu, Peng Jia, Xiaohong et al.

Source: IEEE Transactions on Fuzzy Systems; Sep2020, Vol. 28 Issue 9, p2078-2092, 15p

Subject Terms: ALGORITHMS, IMAGE segmentation, COMPUTATIONAL complexity, LINEAR programming

On eigenvalue-based cooperative spectrum sensing using feature extraction and maximum entropy fuzzy clustering.

Authors: Giri, Manish Kumar Majumder, Saikat

Source: Journal of Ambient Intelligence & Humanized Computing; Aug2023, Vol. 14 Issue 8, p10053-10067, 15p

ENTROPY TOLERANT FUZZY C-MEANS IN MEDICAL IMAGES.

Authors: KANNAN, S. R. RAMATHILAGAM, S. DEVI, R. et al.

Source: Journal of Innovative Optical Health Sciences; Oct2011, Vol. 4 Issue 4, p447-462, 16p

Subject Terms: BREAST imaging, DIAGNOSTIC imaging, MAGNETIC resonance imaging, FUZZY clustering technique, BREAST disease diagnosis

Semi-Supervised Soft Computing for Ammonia Nitrogen Using a Self-Constructing Fuzzy Neural Network with an Active Learning Mechanism.

Authors: Zhou, Hongbiao Huang, Yang Yang, Dan et al.

Source: Water (20734441); Oct2024, Vol. 16 Issue 20, p3001, 26p

Subject Terms: FUZZY neural networks, STANDARD deviations, SOFT computing, K-means clustering, WATER quality

Automatic Fuzzy Clustering Framework for Image Segmentation

Authors: Tao Lei Peng Liu Xiaohong Jia et al.

Source: IEEE Transactions on Fuzzy Systems. 28:2078-2092

Subject Terms: Image segmentation, Density peak (DP) algorithm, density peak (DP) algorithm, Fuzzy clustering, 0202 electrical engineering, electronic engineering, information engineering, fuzzy clustering, superpixel, 02 engineering and technology, Superpixel, image segmentation

File Description: Print-Electronic

Access URL: https://ieeexplore.ieee.org/ielx7/91/9184168/08770118.pdf
https://ieeexplore.ieee.org/document/8770118
https://doi.org/10.1109/TFUZZ.2019.2930030
https://dblp.uni-trier.de/db/journals/tfs/tfs28.html#LeiLJZMN20
https://bura.brunel.ac.uk/bitstream/2438/18966/1/FullText.pdf
https://bura.brunel.ac.uk/handle/2438/18966
http://bura.brunel.ac.uk/handle/2438/18966
https://bura.brunel.ac.uk/handle/2438/18966
https://bura.brunel.ac.uk/handle/2438/21731

Conditional semi‐fuzzy c‐means clustering for imbalanced dataset.

Authors: Gao, Yunlong Yang, Chengyu Lin, Kuo‐Yi et al.

Source: IET Image Processing (Wiley-Blackwell); Sep2020, Vol. 14 Issue 11, p2343-2355, 13p

Multispectral Image Segmentation Based on a Fuzzy Clustering Algorithm Combined with Tsallis Entropy and a Gaussian Mixture Model

Authors: Yan Xu Ruizhi Chen Yu Li et al.

Source: Remote Sensing; Volume 11; Issue 23; Pages: 2772

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, multispectral image segmentation, fuzzy Tsallis entropy, Gaussian mixture model, dissimilarity measure, hidden Markov random field, prior probability, Lagrange multiplier method, 02 engineering and technology

File Description: application/pdf

Access URL: https://www.mdpi.com/2072-4292/11/23/2772/pdf
https://www.mdpi.com/2072-4292/11/23/2772
http://ui.adsabs.harvard.edu/abs/2019RemS...11.2772X/abstract
https://dblp.uni-trier.de/db/journals/remotesensing/remotesensing11.html#XuCLZYZLW19
https://www.mdpi.com/2072-4292/11/23/2772/pdf

FUZZY C-MEANS IN FINDING SUBTYPES OF CANCERS IN CANCER DATABASE.

Authors: KANNAN, S. R. RAMTHILAGAM, S. DEVI, R. et al.

Source: Journal of Innovative Optical Health Sciences; Jan2014, Vol. 7 Issue 1, p-1, 20p

Subject Terms: FUZZY clustering technique, BREAST cancer diagnosis, MEDICAL databases, MEASUREMENT errors, RENYI'S entropy