Výsledky vyhledávání - generalised fuzzy c‐means clustering algorithm

Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm: Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Autor Chang, Sheng-Chieh, Jeng, Jin-Tsong

“… This robustness makes it effective in handling fuzzy and uncertain data. Hence, in this paper Hausdorff distance is proposed on interval generalized improved fuzzy partitions fuzzy C-means clustering algorithm for symbolic interval data analysis (SIDA…”
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Generalised fuzzy c-means clustering algorithm with local information Autor Memon, Kashif Hussain, Lee, Dong-Ho

“…Much research has been conducted on fuzzy c-means (FCM) clustering algorithms for image segmentation that incorporate the local neighbourhood information…”
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Generalized Ordered Intuitionistic Fuzzy C-Means Clustering Algorithm Based on PROMETHEE and Intuitionistic Fuzzy C-Means Autor Bashir, Muhammad Adnan, Rashid, Tabasam, Bashir, Muhammad Salman

“… Therefore, we propose a new clustering algorithm, called the generalized ordered intuitionistic fuzzy c-means (G-OIFCM…”
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Generalized Fuzzy C-Means Clustering Algorithm With Improved Fuzzy Partitions Autor Zhu, Lin, Chung, Fu-Lai, Wang, Shitong

“… In view of its distinctive features in applications and its limitation in having m = 2 only, a recent advance of fuzzy clustering called fuzzy c-means clustering with improved fuzzy partitions (IFP-FCM…”
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Generalised kernel weighted fuzzy C-means clustering algorithm with local information Autor Memon, Kashif Hussain, Lee, Dong-Ho

“… Among them, the kernel weighted fuzzy local information C-means (KWFLICM) algorithm gives robust to noise image segmentation results by using local spatial image…”
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Medical Image Analysis of Lung Tumor Diagnosis Based on Generalized Fuzzy C-Means Clustering Algorithm Autor zwaid, Jassim Mohammed Ahmed, Murad, Masrah Azrifah Azmi, Khalid, Fatimah binti, Manshor, Noridayu, Al-Jumaily, Abdulmajeed

“… This paper introduces medical image analysis of lung tumor diagnosis based on Generalized fuzzy c - means clustering algorithm was proposed…”
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A generalized fuzzy-possibilistic c-means clustering algorithm Autor Naghi, Mirtill-Boglárka, Kovács, Levente, Szilágyi, László

“…The so-called fuzzy-possibilistic c-means (FPCM) algorithm was introduced as an early mixed-partition method aiming to eliminate some adverse effects present in the behavior of the fuzzy c-means (FCM…”
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Generalized intuitionistic fuzzy c-means clustering algorithm using an adaptive intuitionistic fuzzification technique Autor Kaushal, Meenakshi, Lohani, Q. M. Danish

“… In the paper, we propose an intuitionistic fuzzy-based algorithm, namely Generalized Intuitionistic Fuzzy c -Means (G-IFCM…”
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Generalised fuzzy local information C-means clustering algorithm Autor Krinidis, S., Krinidis, M.

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Generalised fuzzy local information C-means clustering algorithm Autor Krinidis, S, Krinidis, M

“…Fuzzy C-means is an efficient algorithm for data clustering. The fuzzy local information C-means (FLICM…”
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Football Video Image Restoration Based on Generalized Equalized Fuzzy C-mean Clustering Algorithm Autor Liu, Shaonan

“… Aiming at these challenges, the study presents a generalized balanced fuzzy C-mean clustering algorithm incorporating fuzzy logic and cluster analysis by introducing local spatial information…”
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Generalized harmonic fuzzy partition C-means clustering: Generalized harmonic fuzzy partition C-means clustering Autor Wu, Chengmao, Zhou, Siyu

“…Aiming at the defects of fuzzy clustering based on Ruspini partitioning in revealing the relationship between categories, a new generalized harmonic fuzzy partition C-means clustering algorithm is proposed in this paper…”
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Interval Generalized Improved Fuzzy Partitions Fuzzy C-Means Under Hausdorff Distance Clustering Algorithm Autor Chang, Sheng-Chieh, Jeng, Jin-Tsong

“… This robustness makes it effective in handling fuzzy and uncertain data. Hence, in this paper Hausdorff distance is proposed on interval generalized improved fuzzy partitions fuzzy C-means clustering algorithm for symbolic interval data analysis (SIDA…”
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Hybrid revised weighted fuzzy c-means clustering with Nelder-Mead simplex algorithm for generalized multisource Weber problem Autor Kucukdeniz, Tarik, Esnaf, Sakir

“…Purpose The purpose of this paper is to propose hybrid revised weighted fuzzy c-means (RWFCM…”
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A hybrid approach combining generalized normal distribution optimization algorithm and fuzzy C-means with Calinski-Harabasz index for clustering optimization Autor Ibrahim, Moatasem Mahmood, Qasim, Omar Saber, Hussein, Talal Fadhil

“…) and fuzzy C-Means clustering (FCM). It is designed for processing unsupervised datasets. This idea target list the development about conventional function option and clustering techniques…”
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Kernel generalized fuzzy c-means clustering with spatial information for image segmentation Autor Zhao, Feng, Jiao, Licheng, Liu, Hanqiang

“…The generalized fuzzy c-means clustering algorithm with improved fuzzy partition (GFCM…”
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Generalized multiplicative fuzzy possibilistic product partition C-means clustering Autor Wu, Chengmao, Li, Meng

“… product partition clustering algorithms. First, based on the existing concept of generalized multiplicative intuitionistic fuzzy sets, this paper introduces a new concept of generalized multiplicative fuzzy sets and further defines…”
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Generalized rough fuzzy c-means algorithm for brain MR image segmentation Autor Ji, Zexuan, Sun, Quansen, Xia, Yong, Chen, Qiang, Xia, Deshen, Feng, Dagan

“… In this paper, a novel hybrid clustering approach, namely the generalized rough fuzzy c-means (GRFCM…”
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Generalized Fuzzy c -Means Clustering and its Property of Fuzzy Classification Function Autor Kanzawa, Yuchi, Miyamoto, Sadaaki

“…This study shows that a generalized fuzzy c -means (gFCM) clustering algorithm, which covers both standard and exponential fuzzy c -means clustering…”
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Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation Autor Cai, Weiling, Chen, Songcan, Zhang, Daoqiang

“…Fuzzy c-means (FCM) algorithms with spatial constraints (FCM_S) have been proven effective for image segmentation…”
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