Suchergebnisse - "Fuzzy C-means algorithm"

Robust Federated Fuzzy C-Means Algorithm in Heterogeneous Scenarios

Autoren: Qixian Zhang Zhaohong Deng Wei Zhang et al.

Quelle: IEEE Transactions on Fuzzy Systems. 33:3168-3181

Public Facility Recommendation System in Subulussalam City using Fuzzy C-Means Algorithm

Autoren: Indah Fachlira Berutu Rozzi Kesuma Dinata Yesy Afrillia

Quelle: International Journal of Engineering, Science and Information Technology. 5:29-40

Unconstrained Fuzzy C-Means Algorithm

Autoren: Feiping Nie Runxin Zhang Weizhong Yu et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:3440-3451

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/40031209

Identification of Rock Mass Discontinuity Sets Based on Density Peak Algorithm and Fuzzy C-Means Algorithm

Autoren: Qiong Wu Qianqian Kang Huiming Tang et al.

Quelle: Rock Mechanics and Rock Engineering. 58:10777-10793

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

Autoren: Senem Gönenç Ozge Pasin

Quelle: Volume: 30, Issue: 182-92
Anadolu Kliniği Tıp Bilimleri Dergisi
Anatolian Clinic the Journal of Medical Sciences

Schlagwörter: Classification, clustering, monkeypox, Clinical Sciences (Other), Gruplama, maymun poks, sınıflandırma, Klinik Tıp Bilimleri (Diğer)

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/anadoluklin/issue/90202/1477313

Optimizing Grocery Sales Data Grouping Using the Fuzzy C-Means Algorithm: Case Study of Nafhan Mart Store

Autoren: null Nafhan Khairuddin Fathin null Rudi Kurniawan null Saeful Anwar

Quelle: Journal of Artificial Intelligence and Engineering Applications (JAIEA). 4:1161-1168

Fuzzy C-Means Algorithm for Grouping Students Based on Preferences and Academic Potential

Autoren: Gellysa Urva Welly Desriyati

Quelle: Sinkron. 9:366-373

A Dissimilarity Measure Powered Feature Weighted Fuzzy C-Means Algorithm for Gene Expression Data

Autoren: Ning Ma Qinghua Hu Kaijun Wu et al.

Quelle: IEEE Transactions on Fuzzy Systems. 33:192-202

Implementation of Fuzzy C-Means Algorithm for Clustering Provinces in Indonesia Based on Micro and Small Industry Ratio in Village Areas

Autoren: Frandito Rahmanesta Zamahsary Martha Dodi Vionanda et al.

Quelle: Indonesian Journal of Statistics and Its Applications. 8:178-190

Novel modified kernel fuzzy c-means algorithm used for cotton leaf spot detection

Autoren: Pradip Paithane Sarita Jibhau Wagh ELAKPI

Weitere Verfasser: Pradip Paithane Sarita Jibhau Wagh ELAKPI

Quelle: Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, Iss 4 (2023)

Schlagwörter: кластеризація, Fuzzy Clustering Method (FCM), 4. Education, Kernel Fuzzy C-means Algorithm (KFCM), QA75.5-76.95, новий модифікований алгоритм кластеризації нечіткого C-середнього ядра (NMKFCM), Clustering, Cotton Leaf Disease, коефіцієнт точності кластера (CAR), 3. Good health, метод нечіткої кластеризації (FCM), Cluster Accuracy Rate (CAR), Electronic computers. Computer science, хвороба листя бавовника, алгоритм нечіткого C-середнього ядра (KFCM), Novel Modified Kernel Fuzzy C-Means Clustering Algorithm (NMKFCM)

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/af49d43d9ff541fda206b76337033d22
https://ela.kpi.ua/handle/123456789/65568

Customer Segmentation Using the RFMD Model and Fuzzy C-Means Algorithm

Autoren: null Muhammad Hafis Zikri null Siti Monalisa null Fitriani Muttakin

Quelle: Jurnal Sistem Cerdas. 7:386-395

Dynamic Clustering Method for Distributed Photovoltaic Systems Based on Improved Fuzzy C-means Algorithm

Autoren: Xuhua Liu Yuyang Liu Weiguo Zhang et al.

Quelle: 2024 CPSS & IEEE International Symposium on Energy Storage and Conversion (ISESC). :572-577

Application of Fuzzy C-Means Algorithm in Fuzzy Classification of Japanese Resource Database

Autoren: Guangyu Zhou Lin Dong Xiaodong Wang

Quelle: 2024 3rd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI). :295-299

A novel Move-Split-Merge based Fuzzy C-Means algorithm for clustering time series

Autoren: Wei Ba Zongquan Gu

Quelle: Evolving Systems. 15:2273-2295

Determine majors in vocational high schools based on fuzzy c-means algorithm

Autoren: Muhammad Bayu Rahmani AR Putu Sudira

Quelle: Jurnal Pendidikan Teknologi dan Kejuruan, Vol 30, Iss 1 (2024)

Schlagwörter: Technology, 4. Education, TA1-2040, Engineering (General). Civil engineering (General), aptitude, determining majors, fuzzy c-means, interest, vocational high school

Zugangs-URL: https://doaj.org/article/123572e0ef9a4dcd852990cf2834a314

Spatial Ranking Analysis on Quality of Services Using Some Techniques to Improved Fuzzy c-Means Algorithm

Autoren: Najada Firza Laura Antonucci Dante Mazzitelli et al.

Weitere Verfasser: Najada Firza Laura Antonucci Dante Mazzitelli et al.

Quelle: Italian Statistical Society Series on Advances in Statistics ISBN: 9783031644467

Schlagwörter: PCA, Fuzzy c-mean algorithm, Mahalanobis distance, Euclidean distance

Application of Image Segmenting Technology Based on Fuzzy C-Means Algorithm in Competition Video Referee

Autoren: Xu Yan

Quelle: IEEE Access, Vol 12, Pp 34378-34389 (2024)

Schlagwörter: C-means algorithm, 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, video image recognition, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, image segmenting technology, video referee, Fuzzy theory, TK1-9971

Zugangs-URL: https://doaj.org/article/8ea077e6970c464ea73ed01d8db2bab9

Preserving the Legacy of Ancient Tamil Script with Deep Learning and Fuzzy C Means Algorithm: Intelligent Approach to Digiitization

Autoren: B. Selvapriya V. Rajini B. Sowmya

Quelle: Journal of Electrical Engineering & Technology. 20:757-771

Fast Fuzzy C-Means Algorithm for Segmenting Brain Tumor MRI Images

Autoren: Wafa GTIFA Anis SAkLY

Quelle: 2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET). :1-6

Enhanced Spatial Fuzzy C-Means Algorithm for Brain Tissue Segmentation in T1 Images

Autoren: Jafrasteh, Bahram Lubián Gutiérrez, Manuel Lubián López, Simón Pedro et al.

Weitere Verfasser: Jafrasteh, Bahram Lubián Gutiérrez, Manuel Lubián López, Simón Pedro et al.

Quelle: Neuroinformatics
Neuroinformatics, 2024
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
Universidad de Cádiz

Schlagwörter: Structural similarity index (SSIM), Research, Brain, Enhanced spatial fuzzy C-means (esFCM) algorithm ·, Magnetic Resonance Imaging, White Matter, Brain tissue segmentation, Magnetic resonance imaging, Imaging, Three-Dimensional, Fuzzy Logic, Image Processing, Computer-Assisted, Humans, Gray Matter, Algorithms, 3D T1 MRI images

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38656595
http://hdl.handle.net/10498/33712