论文信息 - An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising

An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising

Generally, the result of clustering cannot reflect the similarities of time series properly because of the disturbance of noises and details in time series. In this paper, a new approach to this problem based on wavelet decomposition and denoising is proposed. The approach has been tested and analyzed by Synthetic Control Chart Time Series from University of California,Irvine (UCI) knowledge discovery in databases (KDD).

Yanchi Liu | Hongwei Guo | Xuedong Gao | Helan Liang

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