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《Computer Knowledge and Technology》 2007-04
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The Research of Nonlinear Dimensionality Reduction with Isomap and C-Isomap

YUAN Li-guo1,TANG Wu-lei2(1.Department of Mathematics,South China Agricultural University,Guangzhou 510642 China;2.Gudong Soft Park,Guangzhou 510663 China)  
The paper mostly introduces the thinking, advantage and disadvantage of the Isomap algorithm. Clustering algorithm was applied to cluster the sampled data and Then kernel function was utilized to adjust the Euclidean distance between data points, so the Isomap algorithm based clustering can improve the performance and the range of application of Isomap. In the end of paper, the sampled data of Swiss-Roll was utilized to test the algorithm of Isomap and C-Isomap, the result has proved that C-Isomap can better discover the dimensionality reduction.
【CateGory Index】: TP301.6
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 YUAN Yuan~1,2, JI Xinglai~1,3, SUN Zhirong~1,3, LI Yanda~1,2(1. Key Laboratory of Bioinformatics of the Ministry of Education, Tsinghua University, Beijing 100084, China; 2. Department of Automation, Tsinghua University, Beijing 100084, China; 3. Department of Biological Science and Biotechnology, Tsinghua University, Beijing 100084, China);Application of isomap for cluster analyses of gene expression data[J];Journal of Tsinghua University(Science and Technology);2004-09
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【Co-citations】
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4 TAO Yong1,WEN Gui-hua2,QI Fei3(1.School of Information Engineering,Hubei Institute for Nationalities,Enshi 445000,China;2.Research Institute of Computer Application,South China University of Technology,Guangzhou 510640,China;3.School of Information Science and Egnineering,East China University of Science and Technology,Shanghai 200237,China);Application of Analogy Association Based on Outstanding Characteristic in Patent Strategic Analysis[J];Journal of Hubei Institute for Nationalities(Natural Science Edition);2007-04
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