Search Results - Modified Fuzzy c-Means Algorithm with Supervision~

Towards Code Smell Detection: A Multiphase Methodology Using Fuzzy Logic-based Feature Selection

Authors: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Contributors: Monteiro, Bruno Miguel Gonçalves Pombo, Nuno Gonçalo Coelho Costa uBibliorum

Source: urn:tid:204026741

Subject Terms: Qualidade de Software, Code Smells, Engenharia de Software, Modified Fuzzy c-Means Algorithm with Supervision, Seleção de Caraterísticas

File Description: application/pdf

Availability: http://hdl.handle.net/10400.6/19032

Feature selection based on a modified fuzzy C-means algorithm with supervision

Authors: MARCELLONI, FRANCESCO

Source: Information Sciences. 151:201-226

Subject Terms: Computing methodologies and applications, Pattern recognition, speech recognition, Feature selection, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, \(k\)-Nearest neighbors, Feature selection, Fuzzy C-means, k-Nearest neighbors, Supervised learning, Fuzzy C-means, Supervised learning

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A modified fuzzy C-means algorithm for feature selection

Authors: FROSINI, GRAZIANO LAZZERINI, BEATRICE MARCELLONI, FRANCESCO

Source: PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500). :148-152

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://arpi.unipi.it/handle/11568/193961

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

Rapid brain tissue segmentation process by modified FCM algorithm with CUDA enabled GPU machine.

Authors: Kalaiselvi, T. Sriramakrishnan, P.

Source: International Journal of Imaging Systems & Technology. Sep2018, Vol. 28 Issue 3, p163-174. 12p.

Subject Terms: *BIAS correction (Topology), *FUZZY algorithms, *SUPERVISION, *GRAPHICS processing units, *SUPPORT vector machines

Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering.

Authors: Kalmutskiy, K. Berikov, V.

Source: Pattern Recognition & Image Analysis; Mar2025, Vol. 35 Issue 1, p16-18, 3p

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

A rapid knowledge‐based partial supervision fuzzy c‐means for brain tissue segmentation with CUDA‐enabled GPU machine.

Authors: Sriramakrishnan, Padmanaban Kalaiselvi, Thiruvenkadam Somasundaram, Karuppanagounder et al.

Source: International Journal of Imaging Systems & Technology; Dec2019, Vol. 29 Issue 4, p547-560, 14p

Detection of Anxiety-Based Epileptic Seizures in EEG Signals Using Fuzzy Features and Parrot Optimization-Tuned LSTM.

Authors: Palanisamy, Kamini Kamakshi Rengaraj, Arthi

Source: Brain Sciences (2076-3425); Aug2024, Vol. 14 Issue 8, p848, 17p

Subject Terms: EPILEPSY, DATA augmentation, SHORT-term memory, FEATURE extraction, SIGNAL processing

Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation.

Authors: Arora, Jyoti Altuwaijri, Ghadir Nauman, Ali et al.

Source: Frontiers in Computational Neuroscience; 2024, p1-13, 13p

Subject Terms: MAGNETIC resonance imaging, BRAIN imaging, MAGNETIC resonance, MEDICAL research, DIAGNOSTIC imaging, IMAGE segmentation

The expression of genes in different sites of gut tract regulates the meat quality of semitendinosus muscle in sheep and goats.

Authors: Chen, Binlong Huang, Zhiying Cai, Zhongkun et al.

Source: Frontiers in Veterinary Science. 2025, p1-15. 15p.

Iterative Fuzzy Clustering Algorithm With Supervision to Construct Probabilistic Fuzzy Rule Base From Numerical Data.

Authors: Hyong-Euk Lee Kwang-Hyun Park Zeungnam Zenn Bien

Source: IEEE Transactions on Fuzzy Systems; Feb2008, Vol. 16 Issue 1, p263-277, 15p

Subject Terms: ARTIFICIAL intelligence, MACHINE learning, STATISTICAL correlation, FUZZY systems, FUZZY automata, FUZZY logic

Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm.

Authors: Kumar, Niteesh Kumar, Harendra Sharma, Dipa

Source: International Journal of Data Science & Analytics; Aug2025, Vol. 20 Issue 2, p763-786, 24p

CAS-SFCM: Content-Aware Image Smoothing Based on Fuzzy Clustering with Spatial Information.

Authors: Antunes-Santos, Felipe Lopez-Molina, Carlos Mendioroz, Maite et al.

Source: Journal of Imaging; Jun2025, Vol. 11 Issue 6, p173, 19p

A modified fuzzy clustering algorithm based on dynamic relatedness model for image segmentation.

Authors: Gao, Xin Zhang, Yan Wang, Hua et al.

Source: Visual Computer; Apr2023, Vol. 39 Issue 4, p1583-1596, 14p

Subject Terms: FUZZY algorithms, OBJECT recognition (Computer vision), DYNAMIC models, COMPUTER vision, IMAGE segmentation, VISUAL fields

A modified fuzzy C-means algorithm for feature selection.

Authors: Frosini, G. Lazzerini, B. Marcelloni, F.

Source: PeachFuzz 2000. 19th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.00TH8500); 2000, p148-152, 5p

Enhanced novelty approaches for resource allocation model for multi-cloud environment in vehicular Ad-Hoc networks.

Authors: Isaac, R. Augustian Sundaravadivel, P. Marx, V. S. Nici et al.

Source: Scientific Reports; 3/19/2025, Vol. 15 Issue 1, p1-18, 18p

An ensemble algorithm integrating consensus-clustering with feature weighting based ranking and probabilistic fuzzy logic-multilayer perceptron classifier for diagnosis and staging of breast cancer using heterogeneous datasets.

Authors: Chatterjee, Subhashis Das, Ananya

Source: Applied Intelligence; Jun2023, Vol. 53 Issue 11, p13882-13923, 42p

Subject Terms: CLASSIFICATION algorithms, DECISION trees, CANCER diagnosis, FEATURE selection, SELF-organizing maps, MISSING data (Statistics), EARLY detection of cancer

Automatic Unsupervised Segmentation Methods for MRI Based on Modified Fuzzy C-Means.

Authors: Kai Xiao Sooi Hock Ho Hassanien, Aboul ella

Source: Fundamenta Informaticae; 2008, Vol. 87 Issue 3-4, p465-481, 17p, 7 Black and White Photographs, 5 Charts, 1 Graph

Subject Terms: MAGNETIC resonance imaging, IMAGE processing, MEDICAL imaging systems, FUZZY mathematics, MATHEMATICAL analysis

A Novel Color Image Segmentation Approach Based on Neutrosophic Set and Modified Fuzzy c-Means.

Authors: Guo, Yanhui Sengur, Abdulkadir

Source: Circuits, Systems & Signal Processing; Aug2013, Vol. 32 Issue 4, p1699-1723, 25p

Subject Terms: IMAGE segmentation, COLOR image processing, PATTERN recognition systems, COMPUTER vision, ALGORITHMS