Search Results - fuzzy C-means clustering (FCM) algorithm

A modified Fuzzy C-Means (FCM) Clustering algorithm and its application on carbonate fluid identification by Liu, Lifeng, Sun, Sam Zandong, Yu, Hongyu, Yue, Xingtong, Zhang, Dong

“… proposes a new fluid identification method in carbonate reservoir based on the modified Fuzzy C-Means (FCM…”
Get full text

Overall Optimization for Offshore Wind Farm Electrical System by Hou, Peng, Hu, Weihao, Chen, Cong, Chen, Zhe

“…Based on particle swarm optimization (PSO), an optimization platform for offshore wind farm electrical system (OWFES) is proposed in this paper, where the main…”
Get full text

Magnetic Resonance Features of Acquired Immune Deficiency Syndrome Involving Central Nervous System Diseases by Intelligent Fuzzy C-Means Clustering (FCM) Algorithm by Huang, Gang, Chen, Jiaqi, Ge, Yuli, Zhu, Xiaomei, Ding, Meixiao, Chen, Xugao, Qu, Chunsheng

“…This study was aimed to explore the application of fuzzy C-means (FCM) algorithm in MR images of acquired immune deficiency syndrome (AIDS) patients…”
Get full text

Synthetic Aperture Radar (SAR) images features clustering using Fuzzy c-means (FCM) clustering algorithm by Hussain, Rashid

“… This paper provides an application of Fuzzy c-means (FCM) clustering algorithm to SAR Images…”
Get full text

Robust-learning fuzzy c-means clustering algorithm with unknown number of clusters by Yang, Miin-Shen, Nataliani, Yessica

“… In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the most commonly used clustering method…”
Get full text

A feature-weighted suppressed possibilistic fuzzy c-means clustering algorithm and its application on color image segmentation by Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Xie, Shuang, Lan, Rong

“…) and fuzzy c-means clustering (FCM) algorithms. However, there are two main problems in PFCM…”
Get full text

D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation by Pei, Hua-Xin, Zheng, Zeng-Rong, Wang, Chen, Li, Chun-Na, Shao, Yuan-Hai

“…Fuzzy c-means algorithm (FCM) is a powerful clustering algorithm and it is widely used in image segmentation…”
Get full text

A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering by Wu, Chih-Hung, Ouyang, Chen-Sen, Chen, Li-Wen, Lu, Li-Wei

“… This study discusses the effectiveness of clustering validity indexes for centroid-based partitional clustering algorithms…”
Get full text

Identification of Rock Mass Discontinuity Sets Based on Density Peak Algorithm and Fuzzy C-Means Algorithm by Wu, Qiong, Kang, Qianqian, Tang, Huiming, Zhang, Wen, Liu, Qiang, Qin, Yue, Zhang, Chenxi, Liu, Zhiqi, Zhang, Bo, Lin, Zhiwei

“… However, the conventional fuzzy C-means clustering algorithm (FCM) is sensitive to outliers and initial cluster centers, requires a predetermined cluster number, and tends to converge to local optima…”
Get full text

Experimental study of particulate products for aging of 1,3,5–trimethylbenzene secondary organic aerosol by Huang, Mingqiang, Lin, Yuehong, Huang, Xianying, Liu, Xingqiang, Guo, Xiaoyong, Hu, Changjin, Zhao, Weixiong, Gu, Xuejun, Fang, Li, Zhang, Weijun

“…) coupled with Fuzzy C–Means (FCM) clustering algorithm. Experimental results demonstrated that methyl glyoxylic acid, 2–methyl–4–oxo–2–pentenoic acid, 3,5…”
Get full text

Fuzzy C-means clustering algorithm applied in computed tomography images of patients with intracranial hemorrhage by Zhang, Lintao, Song, Dewen, Qiu, Huiying, Ye, Lin, Xu, Zengliang

“… To enhance the accuracy of ICH detection and segmentation, this study proposed an improved fuzzy C-means (FCM…”
Get full text

Classification of Electromyographic Hand Gesture Signals Using Modified Fuzzy C-Means Clustering and Two-Step Machine Learning Approach by Jia, Guangyu, Lam, Hak-Keung, Ma, Shichao, Yang, Zhaohui, Xu, Yujia, Xiao, Bo

“… To lessen the difficulty of classification, clustering methods including subtractive clustering and fuzzy c-means (FCM…”
Get full text

Onshore Wind Farm Collector Circuit Division and Topology Optimization Based on Improved Fuzzy C-Means Clustering by YI Hai, LÜ Zhouan, ZHANG Lingli, CHEN Xi, LIU Dian, HUANG Yuwei, HAN Xingxing, XU Chang

“… In order to reduce the investment cost, an improved fuzzy C-means (FCM) clustering algorithm…”
Get full text

A Robust Fuzzy Local Information C-Means Clustering Algorithm by Krinidis, Stelios, Chatzis, Vassilios

“…This paper presents a variation of fuzzy c-means (FCM) algorithm that provides image clustering…”
Get full text

Automatic Time Picking for Microseismic Data Based on a Fuzzy C-Means Clustering Algorithm by Zhu, Dan, Li, Yue, Zhang, Chao

“… In this letter, we propose a new time picking method based on the fuzzy C-means clustering (FCM) algorithm, which can divide microseismic data into two clusters according to the different levels of similarity between the signals and noise…”
Get full text

A hybrid elicit teaching learning based optimization with fuzzy c-means (ETLBO-FCM) algorithm for data clustering by Nayak, Janmenjoy, Naik, Bighnaraj, Kanungo, D.P., Behera, H.S.

“…Since its inception, Fuzzy c-means (FCM) technique has been widely used in data clustering…”
Get full text

Suppressed possibilistic fuzzy c-means clustering based on shadow sets for noisy data with imbalanced sizes by Yu, Haiyan, Li, Honglei, Xu, Xiaoyu, Gao, Qian, Lan, Rong

“…) algorithm and possesses better noise immunity than fuzzy c-means clustering (FCM) algorithm. However, with the increasing noise intensity and number of clusters, PFCM…”
Get full text

Implementation of Fuzzy C-Means (FCM) Clustering Based Camouflage Image Generation Algorithm by Xiao, Weijie, Zhao, Yan, Gao, Xiaohui, Liao, Congwei, Huang, Shengxiang, Deng, Lianwen

“… In this paper, a camouflage generation algorithm based on rectangle blocks scrambling and Fuzzy C-Means (FCM…”
Get full text

Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning by Miao, Jiaqing, Zhou, Xiaobing, Huang, Ting-Zhu

“…Image segmentation is an active research topic in image processing. The Fuzzy C-means (FCM) clustering analysis has been widely used in image segmentation…”
Get full text

Bias-correction fuzzy clustering algorithms by Yang, Miin-Shen, Tian, Yi-Cheng

“… In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the most commonly used clustering method…”
Get full text