A Similarity Measure Method for Symbolization Time Series

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.

• Publication year

  2013

• Venue

  Research Journal of Applied Sciences, Engineering and Technology

• Publication date

  2013-02-11

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.19026/RJASET.5.4928
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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