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An improved exponential metric space approach for C‐mean clustering analysing

Expert systems, 2024-05, Vol.41 (5), p.n/a

2024

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Accelerating Fuzzy-C Means Using an Estimated Subsample Size

IEEE transactions on fuzzy systems, 2014-10, Vol.22 (5), p.1229-1244

2014

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A Novel Evolutionary Kernel Intuitionistic Fuzzy C -means Clustering Algorithm

IEEE transactions on fuzzy systems, 2014-10, Vol.22 (5), p.1074-1087

Lin, Kuo-Ping

2014

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Clustering healthcare big data using advanced and enhanced fuzzy C‐means algorithm

International journal of communication systems, 2021-01, Vol.34 (1), p.n/a

2021

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Pythagorean fuzzy C‐means algorithm for image segmentation

International journal of intelligent systems, 2021-03, Vol.36 (3), p.1223-1243

2021

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A Generalization of Possibilistic Fuzzy C-Means Method for Statistical Clustering of Data

International Journal of Circuits, Systems and Signal Processing, 2021-12, Vol.15, p.1766-1780

2021

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Modified suppressed relative entropy fuzzy c-means clustering algorithm

Journal of intelligent & fuzzy systems, 2024-03, Vol.46 (3), p.6995-7019

2024

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

CMBEBIH 2017, 2017, p.531-538

2017

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Accelerating white blood cells image segmentation using GPUs

Concurrency and computation, 2021-01, Vol.33 (2), p.n/a

2021

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A New Suppression-based Possibilistic Fuzzy c-means Clustering Algorithm

EAI endorsed transactions on scalable information systems, 2023-01, p.e3

2023

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Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network

Neural computing & applications, 2019-11, Vol.31 (11), p.7181-7200

2019

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ANFIS model based on fuzzy C‐mean, grid partitioning and subtractive clustering to detection of stator winding inter‐turn fault for PM synchronous motor

International transactions on electrical energy systems, 2021-03, Vol.31 (3), p.n/a

2021

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Comparison of Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means to Classify Thalassemia Data

International journal on advanced science, engineering and information technology, 2019-08, Vol.9 (4), p.1205-1210

2019

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A robust kernelized intuitionistic fuzzy c-means clustering algorithm in segmentation of noisy medical images

Pattern recognition letters, 2013-01, Vol.34 (2), p.163-175

2013

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Generalization rules for the suppressed fuzzy c-means clustering algorithm

Neurocomputing (Amsterdam), 2014-09, Vol.139, p.298-309

2014

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An improved image clustering algorithm based on Kernel method and Tchebychev orthogonal moments

Evolutionary intelligence, 2023-08, Vol.16 (4), p.1237-1258

2023

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Lung computed axial tomography image segmentation using possibilistic fuzzy C‐means approach for computer aided diagnosis system

International journal of imaging systems and technology, 2019-09, Vol.29 (3), p.374-381

2019

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Performance Analysis of Different Classifiers for Tele-Diagnosis of Parkinson’s Disease

Wireless personal communications, 2022, Vol.122 (1), p.331-348

2022

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Clustering-based Image Segmentation Techniques: A Review

Journal of advanced research in dynamical and control systems, 2020-07, Vol.12 (SP7), p.701-707

Tongbram, Simon

2020

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Fuzzy Clustering with the Structural α-Entropy

Chinese Journal of Electronics, 2018-11, Vol.27 (6), p.1118-1125

2018

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Automated segmentation technique with self-driven post-processing for histopathological breast cancer images

CAAI Transactions on Intelligence Technology, 2020-12, Vol.5 (4), p.294-300

2020

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Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm

Big data and cognitive computing, 2019-06, Vol.3 (2), p.27

2019

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An application of sine cosine algorithm-based fuzzy possibilistic c-ordered means algorithm to cluster analysis

Soft computing (Berlin, Germany), 2021-03, Vol.25 (5), p.3469-3484

2021

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

Knowledge-based systems, 2021-02, Vol.214, p.106731, Article 106731

2021

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Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm

Neurocomputing (Amsterdam), 2016-05, Vol.188, p.233-238

2016

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Ieee Transactions On Fuzzy Systems
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An improved exponential metric space approach for C‐mean clustering analysing

Accelerating Fuzzy-C Means Using an Estimated Subsample Size

A Novel Evolutionary Kernel Intuitionistic Fuzzy C -means Clustering Algorithm

Clustering healthcare big data using advanced and enhanced fuzzy C‐means algorithm

Pythagorean fuzzy C‐means algorithm for image segmentation

A Generalization of Possibilistic Fuzzy C-Means Method for Statistical Clustering of Data

Modified suppressed relative entropy fuzzy c-means clustering algorithm

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

Accelerating white blood cells image segmentation using GPUs

A New Suppression-based Possibilistic Fuzzy c-means Clustering Algorithm

Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network

ANFIS model based on fuzzy C‐mean, grid partitioning and subtractive clustering to detection of stator winding inter‐turn fault for PM synchronous motor

Comparison of Fuzzy C-Means, Fuzzy Kernel C-Means, and Fuzzy Kernel Robust C-Means to Classify Thalassemia Data

A robust kernelized intuitionistic fuzzy c-means clustering algorithm in segmentation of noisy medical images

Generalization rules for the suppressed fuzzy c-means clustering algorithm

An improved image clustering algorithm based on Kernel method and Tchebychev orthogonal moments

Lung computed axial tomography image segmentation using possibilistic fuzzy C‐means approach for computer aided diagnosis system

Performance Analysis of Different Classifiers for Tele-Diagnosis of Parkinson’s Disease

Clustering-based Image Segmentation Techniques: A Review

Fuzzy Clustering with the Structural α-Entropy

Automated segmentation technique with self-driven post-processing for histopathological breast cancer images

Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm

An application of sine cosine algorithm-based fuzzy possibilistic c-ordered means algorithm to cluster analysis

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

Kernel-based fuzzy c-means clustering algorithm based on genetic algorithm

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