计算机工程与应用Issue(4)：120-122,147,4.DOI:10.3778/j.issn.1002-8331.1312-0107
基于形态相似距离的时间序列相似性度量
Morphology similarity distance based time series similarity measure-ment
门连生 1卫婧菲 2李中2
作者信息
- 1. 晋城供电公司，山西 晋城 048000
- 2. 华北电力大学 电气与电子工程学院，河北 保定 071003
- 折叠
摘要
Abstract
Time series similarity measurement is one of the fundamental tasks in time series data analyzing, and the key to similarity matching. In view of shortcomings of Euclidean distance can not compare segment trend similarity and pattern distance measure or its transformations existing discretization problem, the morphology similarity distance based time series similarity measurement is presented in this paper. Experimental results of reorganization and clustering on standard data sets show that the proposed method is feasible and effective.关键词
时间序列/形态相似距离/相似性/聚类Key words
time series/morphology similarity distance/similarity/clustering分类
信息技术与安全科学引用本文复制引用
门连生,卫婧菲,李中..基于形态相似距离的时间序列相似性度量[J].计算机工程与应用,2015,(4):120-122,147,4.
