Noise robust intuitionistic fuzzy c‐means clustering algorithm incorporating local information

Author:

Yang Zhenzhen12,Xu Pengfei2,Yang Yongpeng3,Kang Bin4

Affiliation:

1. School of Science Nanjing University of Posts and Telecommunications Nanjing China

2. National Engineering Research Center of Communications and Networking Nanjing University of Posts and Telecommunications Nanjing China

3. School of Network and Communication Nanjing Vocational College of Information Technology Nanjing China

4. Institute of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China

Funder

China Postdoctoral Science Foundation

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference35 articles.

1. Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation

2. Adaptive dual threshold based moving target detection algorithm;Liang K.;IEEE Info. Tech. Mech. Engin. Confer (ITOEC),2018

3. Map‐guided hyperspectral image superpixel segmentation using proportion maps;Sun H.;IEEE Inter. Geos. Remo. Sens. Symp. (IGARSS),2017

4. Huang G. Liu Z.: Densely connected convolutional networks. arXiv:1608.06993v5 2018

5. An optimized feature selection technique based on incremental feature analysis for bio-metric gait data classification

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