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《Journal of Computer Research and Development》 2005-09
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Ensemble-Based Manifold Learning for Visualization

Zhan Dechuan and Zhou Zhihua(National Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093)  
Manifold learning is helpful to the discovery of the intrinsic distribution and geometry structure of data. Current manifold learning algorithms are usually sensitive to noise and input parameters. The appearance of noise and the change of input parameters usually produce significantly different learning results. In this paper, a new method is proposed based on the manifold learning algorithm Isomap through introducing ensemble learning technique, which enlarges the value range that the input parameters can take to generate good visualization effect and reduces the sensitivity to noise.
【Fund】: 国家杰出青年科学基金项目(60325207);; 教育部优秀青年教师基金项目;; 霍英东基金项目(91067)~~
【CateGory Index】: TP181
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