摘要
Isomap是一种新的非线性降维方法,应用它可以发现隐藏在高维数据内在的结构特性,可以将数据可视化.将Isomap应用到高维乳腺癌病理数据进行可视化实验,实验结果说明Isomap具有很强的降维能力并保持数据的内在结构不变的特性.
出处
《河北工业大学学报》
CAS
2005年第z1期84-85,共2页
Journal of Hebei University of Technology
参考文献4
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2[2]Shifeng Weng, Changshui Zhang, Zhonglin Lin, Xuegong Zhang. Mining the structural knowledge of high dimensional medical data using Isomap.http: //166.111.72.3/szll/bodao/zhangchangshui/bigeye/member/weng/WengIsomap.pdf.
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3[3]Website of Isomap. http: //isomap.stanford. edu/.
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4[5]Xin Geng, De-Chuan Zhan, and Zhi-Hua Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE transactions on systems, man and cybermetics - Part B: Cybernetics.
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