Unsupervised feature extraction for time series clustering using orthogonal wavelet transform.: An article from: Informatica
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This digital document is an article from Informatica, published by Thomson Gale on October 1, 2006. The length of the article is 10632 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.
Citation Details
Title: Unsupervised feature extraction for time series clustering using orthogonal wavelet transform.
Author: Hui Zhang
Publication:Informatica (Magazine/Journal)
Date: October 1, 2006
Publisher: Thomson Gale
Volume: 30 Issue: 3 Page: 305(15)
Distributed by Thomson Gale
Citation Details
Title: Unsupervised feature extraction for time series clustering using orthogonal wavelet transform.
Author: Hui Zhang
Publication:Informatica (Magazine/Journal)
Date: October 1, 2006
Publisher: Thomson Gale
Volume: 30 Issue: 3 Page: 305(15)
Distributed by Thomson Gale
