A New Time Series Similarity Measurement Method Based on Fluctuation Features
Time series similarity measurement is one of the fundamental tasks in time series data mining, and there are many studies on time series similarity measurement methods. However, the majority of them only calculate the distance between equal-length time series, and also cannot adequately reflect the...
Main Authors: | Hailan Chen, Xuedong Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2020-01-01
|
Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/351984 |
Similar Items
-
Cloud Model-Based Adaptive Time-Series Information Granulation Algorithm and Its Similarity Measurement
by: Hailan Chen, et al.
Published: (2025-02-01) -
Similarity dynamical clustering algorithm based on multidimensional shape features for time series
by: WANG Ling, et al.
Published: (2017-07-01) -
Analysis of Similarity Measures in Times Series Clustering for the Discovery of Building Energy Patterns
by: Wolfgang Kastner, et al.
Published: (2013-01-01) -
Review of Multivariate Time Series Clustering Algorithms
by: ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu
Published: (2025-03-01) -
Hierarchical Clustering of Time Series Based on Linear Information Granules
by: Hailan Chen, et al.
Published: (2019-01-01)