Results 301 to 310 of about 948,152 (383)

FCM: The fuzzy c-means clustering algorithm

Computers and Geosciences, 1984
J. Bezdek, R. Ehrlich, W. Full
semanticscholar   +3 more sources

A Probabilistic Linguistic Three-Way Decision Method With Regret Theory via Fuzzy c-Means Clustering Algorithm

IEEE transactions on fuzzy systems, 2023
Aiming at multiattribute decision-making (MADM) problems with probabilistic linguistic term sets (PLTSs), and considering the effective rationality of a decision-maker (DM) in complex decision environments, this article proposes a probabilistic ...
Jinxing Zhu, Xueling Ma, Luis Martínez, Jianming Zhan   +3 more
semanticscholar   +1 more source

Fuzzy C-Means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: Review and development

Expert systems with applications, 2021
Clustering algorithms aim at finding dense regions of data based on similarities and dissimilarities of data points. Noise and outliers contribute to the computational procedure of the algorithms as well as the actual data points that leads to inaccurate
S. Askari
semanticscholar   +1 more source

Sparsity Fuzzy C-Means Clustering With Principal Component Analysis Embedding

IEEE transactions on fuzzy systems, 2023
The clustering method has been widely used in data mining, pattern recognition, and image identification. Fuzzy c-means (FCM) is a soft clustering method that introduces the concept of membership.
Jingwei Chen, Jianyong Zhu, Hongyun Jiang, Hui Yang, F. Nie   +4 more
semanticscholar   +1 more source

Analysis of parameter selections for fuzzy c-means

Pattern Recognition, 2021
The weighting exponent m is called the fuzzifier that can influence the performance of fuzzy c-means (FCM). It is generally suggested that [email protected]?[1.5,2.5].
Kuo-Lung Wu
semanticscholar   +1 more source

Comparison and application of SOFM, fuzzy c-means and k-means clustering algorithms for natural soil environment regionalization in China.

Environmental Research, 2022
Soil attributes and their environmental drivers exhibit different patterns in different geographical directions, along with distinct regional characteristics, which may have important effects on substance migration and transformation such as organic ...
Wenhao Zhao, Jin Ma, Qiyuan Liu, Jin Song, M. Tysklind, Chengshuai Liu, Dong Wang, Y. Qu, Yihang Wu, Fengchang Wu   +9 more
semanticscholar   +1 more source

A possibilistic fuzzy c-means clustering algorithm

IEEE Transactions on Fuzzy Systems, 2005
N. Pal, K. Pal, J. Keller, J. Bezdek
semanticscholar   +3 more sources

An Improved Intuitionistic Fuzzy C-Means for Ship Segmentation in Infrared Images

IEEE transactions on fuzzy systems, 2022
Infrared ship segmentation is extensively applied in military fields. Due to noise and intensity inhomogeneity, the segmentation of infrared ship is a challenging task.
Fan Yang, Zhaoying Liu, X. Bai, Yuxuan Zhang   +3 more
semanticscholar   +1 more source

General Fuzzy C-Means Clustering Strategy: Using Objective Function to Control Fuzziness of Clustering Results

IEEE transactions on fuzzy systems, 2022
As one of the most commonly used clustering methods, the fuzzy C-means (FCM) clustering strategy extends the notion of hard clustering to associate each pattern with every cluster using a membership function.
Kaixin Zhao, Yaping Dai, Zhiyang Jia, Ye Ji   +3 more
semanticscholar   +1 more source

Relative entropy fuzzy c-means clustering

Information Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zarandi, Mohammad Hossein Fazel, Zarinbal, M., Türkşen, İsmail Burhan   +2 more
openaire   +3 more sources