The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure
The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
We present a new method for time series clustering which we call the Hierarchical Spectral Merger (HSM) method. This procedure is based on the spectral theory of time series and identifies series that share similar oscillations or waveforms. The extent of similarity between a pair of time series is measured using the total variation distance betwee...
Alternative Titles
Full title
The Hierarchical Spectral Merger Algorithm: A New Time Series Clustering Procedure
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2024250034
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2024250034
Other Identifiers
ISSN
0176-4268
E-ISSN
1432-1343
DOI
10.1007/s00357-018-9250-5
