Opto-Electronic Engineering, Volume. 43, Issue 4, 33(2016)

Semi-supervised Graph Clustering with Composite Kernel and Its Application in Hyperspectral Image

LI Zhimin*... HAO Panchao, HUANG Hong and HUANG Wen |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less
    References(14)

    [2] [2] ZHAO Chunhui,QI Bin. Hyperspectral image classification based on fuzzy kernel weighted c-means clustering [J]. Chinese Journal of Scientific Instrument,2012,33(9):2016-2021.

    [3] [3] LI Qiaolan. Semi-supervised clustering based on constraints for image segmentation [D]. Xi′an:Xidian University,2014:1-2.

    [4] [4] LENG Mingwei. Research of active semi-supervised clustering and its application in community detection [D]. Lanzhou: Lanzhou University,2014:14-23.

    [5] [5] CHEN Xiaodong,YIN Xuesong,LIN Huanxiang. Semi-supervised clustering approach with discriminant analysis [J]. Computer Engineering and Applications,2010,46(6):139-143.

    [6] [6] Camps-Valls Gustavo,Marsheva Tatyana V. Bandos,ZHOU Dengyong. Semi-supervised graph-based hyperspectral image classification [J]. IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),2007,45(10):3044-3054.

    [8] [8] Papadopoulos Dimitris F,Simos Theodore E. A modified runge-kutta-nystr.m method by using phase lag properties for the numerical solution of orbital problems [J]. Applied Mathematics & Information Sciences(S1935-0090),2013,7(2):433-437.

    [9] [9] XIE Juanying,GUO Wenjuan,XIE Weixin,et al. K-means clustering algorithm based on optimal initial centers related to pattern distribution of samples in space [J]. Applications Research of Computers,2012,29(3):888-892.

    [10] [10] WANG Feng,JI Jincheng,NIE Baisheng. An improved fusion method of fuzzy logic based on k-mean clustering [J]. Journal of North University of China:Natural Science Edition,2014,35(6):699-703.

    [11] [11] ZHANG Huizhe,WANG Jian. Improved fuzzy c-means clustering algorithm based on selecting initial clustering centers [J]. Computer Science,2009,36(6):206-209.

    [12] [12] Kannan S R,Ramathilagam S. Effective fuzzy c-means clustering algorithms for data clustering problems [J]. Expert Systems with Applications(S0957-4174),2012,39(7):6292–6300.

    [13] [13] ZHAO Weizhong,HE Qing,MA Huifang. Effective semi-supervised document clustering via active learning with instance-level constraints [J]. Knowledge & Information Systems(S0219-1377),2012,30(3):569-587.

    [14] [14] Ozer Sedat,CHEN Chi H. A set of new chebyshev kernel function for support vector machine pattern classification [J]. Pattern Recognition(S0031-3203),2011,44(7):1435-1447.

    [15] [15] ZHANG Rui,WANG Wenjian. Facilitating the application of support vector machine by using a new kernel [J]. Export Systems with Applications(S0957-4174),2011,38(11):14225-14230.

    Tools

    Get Citation

    Copy Citation Text

    LI Zhimin, HAO Panchao, HUANG Hong, HUANG Wen. Semi-supervised Graph Clustering with Composite Kernel and Its Application in Hyperspectral Image[J]. Opto-Electronic Engineering, 2016, 43(4): 33

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 31, 2015

    Accepted: --

    Published Online: May. 11, 2016

    The Author Email: Zhimin LI (lzm@cqu.edu.cn)

    DOI:10.3969/j.issn.1003-501x.2016.04.006

    Topics