Mthethwa, FisokuhleNath, AmitabhaOptimization is a vital constituent of machine learning as it brings about efficiency of the analysis process. An optimizer is used to minimize an objective function, which in turn leverages efficiency of any given model. Many metaheuristic algorithms have been applied...
基于马氏距离和模糊c均值聚类的抠图算法与应用 matting algorithm and application based on mahalanobis distance and the fuzzy c-means clustering algorithm 基于模糊C-均值聚类-洞察分析 模糊C均值聚类算法的C 实现代码 Bezdek型模糊属性C均值聚类算法 模糊c均值聚类FCM算法的MATLAB代码 改进的模糊C均值聚类算法及其应用...
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications Internet of Things Journal2020, Internet of Things Seifeddine Messaoud, ... Mohamed Atri 4.2.2 Fuzzy C-means clustering a) Algorithm's principle The Fuzzy C-means algorithm is an extension of the K-...
2015, Computational and Mathematical Methods in Medicine Fuzzy C-means clustering with local information and kernel metric for image segmentation 2013, IEEE Transactions on Image Processing A robust fuzzy local information C-means clustering algorithm 2010, IEEE Transactions on Image Processing View all ...
In addition, an infrared array sensor was deployed to collect data for the lower body. Posture recognition was performed using a fuzzy c-means clustering algorithm. Six types of sleeping body posture were recognized from the combination of the upper and lower body postures. Results The ...
The Algorithm Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method (developed by Dunn in 1973 and improved by Bezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following ...
The Fuzzy c-means is one of the most popular ongoing area of research among all types of researchers including Computer science, Mathematics and other areas of engineering, as well as all areas of optimization practices. Several problems from various are
EIT electrode arrangement, (2) Measurement of gastric impedance Z by using compact gEIT data acquisition system (DAQ), (3) Reconstruction of gastric conductivity distribution σ by using time-difference gauss–newton algorithm and 4) Estimation of gastric volume V by using dual-step fuzzy ...
To utilize the expert knowledge and numerical data in a fuzzy model synchronously, this paper proposed a hybrid fuzzy c-means (FCM) clustering algorithm and Fuzzy Network (FN) method-based model for prediction. The Mamdani rule-based structure of the proposed model is identified based on FCM ...
Dagher I Complex fuzzy c-means algorithm Artificial Intelligence Review, 38 (1) (2012), pp. 25-39 CrossrefView in ScopusGoogle Scholar 20 Zhao Y.&KG. Criterion functions for document clustering: Experiments and analysis Machine Learning., 55 (3) (2004), pp. 311-331 View in ScopusGoogle ...