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Variable Bandwidth Smoothing Based on Cluster Analysis
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作者 周小波 周雷 张贤达 《Tsinghua Science and Technology》 EI CAS 2000年第2期180-182,200,共4页
Piecewise variable bandwidth local polynomial smoothing was studied. A local polynomial smoothing method was given based on kernel functions and the optimal variable bandwidth choice was discussed using cluster analys... Piecewise variable bandwidth local polynomial smoothing was studied. A local polynomial smoothing method was given based on kernel functions and the optimal variable bandwidth choice was discussed using cluster analysis. Computer simulations show that the current method is better than Donoho's wavelet shrinkage method. 展开更多
关键词 variable bandwidth selection locally weighted regression cluster analysis
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