A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

Συγγραφείς: Borlea, Ioan-Daniel ^a, Precup, Radu-Emil ^{a, b, ⁎}, Borlea, Alexandra-Bianca ^a, Iercan, Daniel ^a

Πηγή: In Knowledge-Based Systems 28 February 2021 214

A STUDY OF COMPARING CONCEPTUAL AND PERFORMANCE OF K-MEANS AND FUZZY C MEANS ALGORITHMS (CLUSTERING METHOD OF DATA MINING) OF CONSUMER SEGMENTATION

Συγγραφείς: Yunita Sinambela, Sukrina Herman, Ahsani Takwim, Septian Rheno Widianto

Πηγή: Jurnal Riset Informatika, Vol 2, Iss 2, Pp 49-54 (2020)

Θεματικοί όροι: data mining, consumer segmentation, clustering, k-means, fuzzy c means algorithms, Electronic computers. Computer science, QA75.5-76.95, Computer engineering. Computer hardware, TK7885-7895

Relation: https://ejournal.kresnamediapublisher.com/index.php/jri/article/view/116; https://doaj.org/toc/2656-1743; https://doaj.org/toc/2656-1735; https://doaj.org/article/05548aecf89945e68505916e660fe826

Διαθεσιμότητα: https://doi.org/10.34288/jri.v2i2.116
https://doaj.org/article/05548aecf89945e68505916e660fe826

An evaluation of clustering technique over intrusion detection system

Συγγραφείς: Nadiammai, G. V., Hemalatha, M.

Πηγή: Proceedings of the International Conference on Advances in Computing, Communications and Informatics. :1054-1060

Διαθεσιμότητα: http://dl.acm.org/doi/10.1145/2345396.2345565

A study of large-scale data clustering based on fuzzy clustering

Συγγραφείς: Li, Yangyang, Yang, Guoli, He, Haiyang, Jiao, Licheng, Shang, Ronghua

Πηγή: Soft Computing: A Fusion of Foundations, Methodologies and Applications. August 2016 20(8):3231-3242

A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images

Συγγραφείς: Ashfaq, Awais, Adler, Jonas

Πηγή: IFMBE Proceedings. :531-538

Θεματικοί όροι: Cone beam CT, Fuzzy C means, Shading correction, Biochemical engineering, Bone, Clustering algorithms, Copying, Fuzzy clustering, Fuzzy systems, Magnetic resonance imaging, Volumetric analysis, Cone-beam CT, Correction algorithms, Correction approaches, Fuzzy C mean, Fuzzy C-means algorithms, Intensity distribution, Reconstruction software, Segmentation accuracy, Computerized tomography

Περιγραφή αρχείου: print

Σύνδεσμος πρόσβασης: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207385

Relational duals of the c-means clustering algorithms

Συγγραφείς: John W. Davenport, James C. Bezdek, Richard J. Hathaway

Πηγή: Pattern Recognition. 22:205-212

Θεματικοί όροι: convergence properties, Classification and discrimination, cluster analysis (statistical aspects), fuzzy c-means algorithms, hard c-means algorithm, pattern recognition, 0202 electrical engineering, electronic engineering, information engineering, relational data, 02 engineering and technology, clustering

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/4102315
https://doi.org/10.1016/0031-3203(89)90066-6
https://dblp.uni-trier.de/db/journals/pr/pr22.html#HathawayDB89
https://www.sciencedirect.com/science/article/pii/0031320389900666

Parametric estimation for normal mixtures

Συγγραφείς: Vicki J Huggins, Richard J. Hathaway, James C. Bezdek

Πηγή: Pattern Recognition Letters. 3:79-84

Θεματικοί όροι: Bayes classifiers, fuzzy c-means algorithms, maximum-likelihood estimates, Point estimation, 0202 electrical engineering, electronic engineering, information engineering, modification of the EM algorithm, 02 engineering and technology, mixture of normal distributions, 0101 mathematics, unsupervised learning, 01 natural sciences

Περιγραφή αρχείου: application/xml

Σύνδεσμος πρόσβασης: https://zbmath.org/3885113
https://doi.org/10.1016/0167-8655(85)90012-1

Automatic segmentation of brain MR images for patients with different kinds of epilepsy

Συγγραφείς: Wang, J., Wang, R., Zhang, S., Ding, J., Zhu, Yue-Min

Συνεισφορές: School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University Shanghai, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Πηγή: 2014 International Conference on Smart Computing
https://hal.science/hal-02086651
2014 International Conference on Smart Computing, 2014, Hongkong, China. pp.216-220, ⟨10.1109/SMARTCOMP.2014.7043861⟩

Θεματικοί όροι: expectation-maximization algorithms, K-means clustering, medical image processing, magnetic resonance imaging, MR images segmentation, fuzzy set theory, brain MR images, expectation-maximisation algorithm, symptomatic generalized epilepsy, automatic segmentation, fuzzy c-means algorithms, trimmed likelihood estimator, Gaussian mixture model, fluid-attenuated inversion recovery images, cerebrospinal fluid, segmentation, disease information, segmentation methods, Accuracy, Clustering algorithms, Lesions, epilepsy, Measurement, Algorithm design and analysis, brain lesions, dice similarity coefficient, Image segmentation, idiopathic generalized epilepsy, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging

Θέμα γεωγραφικό: Hongkong, China

Διαθεσιμότητα: https://hal.science/hal-02086651
https://doi.org/10.1109/SMARTCOMP.2014.7043861

On the use of inclusion structure in fuzzy clustering algorithm in case of Gaussian membership functions

Συγγραφείς: Nefti-Meziani, Samia, Oussalah, Mourad, Soufian, Majeed

Θεματικοί όροι: inclusion structure, fuzzy c-means algorithms, 519 Probabilities & applied mathematics, QA Mathematics

Relation: http://researchrepository.napier.ac.uk/Output/836220

Διαθεσιμότητα: https://doi.org/10.3233/IFS-141407
http://researchrepository.napier.ac.uk/Output/836220

Blind recovery of M-QAM signals for fading channels using the Fuzzy-C-Means algorithm

Συγγραφείς: COSTAMAGNA, EUGENIO, FAVALLI, LORENZO, SAVAZZI, PIETRO

Συνεισφορές: Costamagna, Eugenio, Favalli, Lorenzo, Savazzi, Pietro

Θεματικοί όροι: M-QAM, blind recovery, fuzzy-c-means algorithms

Περιγραφή αρχείου: STAMPA

Relation: ispartofbook:Proceedings 1999 IEEE 49th Vehicular Thechnology Conference; 1999 IEEE 49th Vehicular Technology Conference; volume:1; firstpage:516; lastpage:520; http://hdl.handle.net/11571/4066; http://ieeexplore.ieee.org

Διαθεσιμότητα: http://hdl.handle.net/11571/4066
http://ieeexplore.ieee.org

Classification of event-related potentials associated with response errors in actors

Συγγραφείς: Asvestas, PA, Ventouras, E, Karanasiou, I, Matsopoulos, GK

Θεματικοί όροι: Agent Interaction, Automatic Detection, Classification Accuracy, Event Related Potential, event-related potential erp, Fuzzy C Means Algorithm, Fuzzy C Means Clustering, Joint Action, Action research, Artificial agents, Classification tasks, Electrical activities, Event related potentials, Fuzzy C-means algorithms, Fuzzy c-means clustering algorithms, Learning mechanism, Noninvasive measurements, Response error, Selection algorithm, Signal classification methods, Bioinformatics, Brain, Copying, Education, Enterprise resource planning, Error detection, Fuzzy clustering, Fuzzy systems, Sequential switching, Signal detection

Διαθεσιμότητα: https://doi.org/10.1109/BIBE.2008.4696784

A unified form of fuzzy c-means and k-means algorithms and its partitional implementation

Συγγραφείς:

Executive Unit for Financing Higher Education, Research, Development and Innovation (UEFISCDI) of Romania

Πηγή: Knowledge-Based Systems

Όροι ευρετηρίου: Distributed platforms, Fuzzy C-means algorithm, K-means algorithm, Partitional Implementation, Unified form of Fuzzy C-Means algorithms and K-Means algorithms, Computer Engineering, Computer Sciences, Engineering, Physical Sciences and Mathematics, Theory and Algorithms, Journal Article

Σύνδεσμος: https://ro.ecu.edu.au/ecuworkspost2013/9601