Application of Similarity Measure of Cross Entropy in Hydrological Time Series
FU Qian
ZHU Yuelong
WAN Dingsheng
Abstract：Similarity search algorithm based on cross entropy uses wavelet transform for data preprocessing and use PAA to reduce dimensionality .The approximate probability distribution of the water level data is obtained .By cross‐entropy distance ,the probability distribution of the difference between two sequences are measured .Taking Kang Hill station of Poy‐ang Lake water level data as an example ,this algorithm verifies the cross‐entropy‐based similarity search algorithm to accu‐rately identify a given period of time compared to a similar hydrological processes under the premise of reducing the time com‐plexity .
Keywords：time seriescross entropysimilarity measurewavelet transform
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 164-167 )