Search Results - "Fuzzy C-means (FCM) clustering algorithm"

Using spectral Geodesic and spatial Euclidean weights of neighbourhood pixels for hyperspectral Endmember Extraction preprocessing by Kowkabi, Fatemeh, Keshavarz, Ahmad

“…Spectral Mixture Analysis is one of the fundamental subjects encountered when dealing with remotely sensed hyperspectral images…”
Get full text

Early Sepsis Recognition Based on Ear Localization using Infrared Thermography by Al-Sadr, Hasanain, Popescu, Mihail, Keller, James M.

“… extremity temperature difference based on ear localization using thermal images and the fuzzy C-means (FCM…”
Get full text

Investigation of Fuzzy Functions Approach and Its Possible Applications in Industrial Engineering Problems by Maral, Sultan

“… It has been a very important research subject for many researchers and has led to new developments for many fields since it enables to handle uncertainties successfully…”
Get full text

Fault diagnosis of bearing based on fuzzy support vector machine by Haodong Ma, Yi Xiong, Hongzheng Fang, Lichao Gu

“…In rotating machinery equipment, bearing is one of the most common parts. Because of the complex working conditions, the bearing system is subject to get failure…”
Get full text

Red tide algae classification using SVM-SNP and semi-supervised FCM by Lili Xu, Tao Jiang, Jiezhen Xie, Shaoping Zheng

“…). Secondly, those samples most likely mistakenly labeled were picked out and re-labeled by semi-supervised fuzzy c-means (FCM…”
Get full text

Unsupervised fuzzy binning of metagenomic sequence fragments on three-dimensional Barnes-Hut t-Stochastic Neighbor Embeddings by Ariza-Jimenez, Leandro, Quintero, O. L., Pinel, Nicolas

“…Shotgun metagenomic studies attempt to reconstruct population genome sequences from complex microbial communities. In some traditional genome demarcation…”
Get full text

Unsupervised global optimization in the classification of handwritten digits and visual evoked potentials by Dasey, Timothy John

“…) of control and Multiple Sclerosis (MS) subjects. The system is comprised of a feature extraction and clustering module, and both are trained using the combinatorial optimization routine ALOPEX…”
Get full text

A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis by Zhang, Texi, Xiao, Xiaoyue, Mao, Jie

“…) and the Felt Arousal Scale (FAS), and the acceleration data were evaluated by clustering using the fuzzy c-mean (FCM…”
Get full text

Fully automated reconstruction of ungated ghost magnetic resonance angiograms by Tsaftaris, Sotirios A., Offerman, Erik, Edelman, Robert R., Koktzoglou, Ioannis

“… K‐means and fuzzy c‐means (FCM) clustering algorithms using prominent image features were applied to automatically create angiograms of the calf in volunteers undergoing ungated ghost MRA…”
Get full text

Detection of multiple sclerosis with visual evoked potentials - an unsupervised computational intelligence system by Dasey, T.J., Micheli-Tzanakou, E.

“…This paper describes the application of a novel unsupervised pattern recognition system to the classification of the visual evoked potentials (VEPs) of normal…”
Get full text