نتایج جستجو برای: parallel fuzzy c means clustering

تعداد نتایج: 1718346  

Journal: :Systemic: Information System and Informatics Journal 2016

Journal: :Scientific Programming 2021

Fuzzy C-means (FCM) is an important clustering algorithm with broad applications such as retail market data analysis, network monitoring, web usage mining, and stock prediction. Especially, parameters in FCM have influence on results. However, a lot of did not solve the problem, that is, how to set parameters. In this study, we present kind method for computing values according role process. Ne...

Journal: :BAREKENG: Jurnal Ilmu Matematika dan Terapan 2017

Journal: :Journal of Statistical Theory and Applications 2020

Journal: :International Journal of Electronics Signals and Systems 2011

Journal: :International Journal of Computer Applications 2016

Journal: :Journal of Biomedical Informatics 2009

Journal: :IEEE Transactions on Fuzzy Systems 2013

2015
Che-Lun Hung Yuan-Huai Wu Yaw-Ling Lin Yu-Chen Hu Jieh-Shan Yeh Chia-Chen Lin

In the computer aided medical image process, image segmentation is always required as a preprocess stage. Fuzzy c-means (FCM) clustering algorithm has been commonly used in many medical image segmentations, particularly in the analysis of magnetic resonance (MR) brain image. However, all of these FCM methods are computation consuming that is difficult to be used in real time application. In the...

Journal: :middle east journal of cancer 0
amirehsan lashkari department of bio-medical engineering, institute of electrical engineering & information technology, iranian research organization for science and technology (irost), tehran, iran

background: in this paper we compare a highly accurate supervised to an unsupervised technique that uses breast thermal images with the aim of assisting physicians in early detection of breast cancer. methods: first, we segmented the images and determined the region of interest. then, 23 features that included statistical, morphological, frequency domain, histogram and gray-level co-occurrence ...

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