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2013 (Vol. 5, Issue: 05)
Article Information:

A Similarity Measure Method for Symbolization Time Series

Qiang Niu and Zhigang Li
Corresponding Author:  Qiang Niu 

Key words:  Hierarchical cluster, LCSS, similarity measure, time series, , ,
Vol. 5 , (05): 1726-1730
Submitted Accepted Published
July 27, 2012 September 03, 2012 February 11, 2013
Abstract:

Similarity measure is the base task of time series data mining tasks. LCSS measure method has obvious limitations in the two different length time series selection of a linear function. The ELCS measure method is proposed to normalize the sequence, which introducing the scale factor to limit the search path of the similarity matrix. Experiment in hierarchical clustering algorithm shows that the improved measure makes up for the shortcomings of LCSS, improves the efficiency and accuracy of clustering and improves time complexity.
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  Cite this Reference:
Qiang Niu and Zhigang Li, 2013. A Similarity Measure Method for Symbolization Time Series.  Research Journal of Applied Sciences, Engineering and Technology, 5(05): 1726-1730.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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