Lag penalized weighted correlation for time series clustering

Lag penalized weighted correlation for time series clustering

Abstract Background The similarity or distance measure used for clustering can generate intuitive and interpretable clusters when it is tailored to the unique characteristics of the data. In time series datasets generated with high-throughput biological assays, measurements such as gene expression l...

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Bibliographic Details
Main Authors: Thevaa Chandereng, Anthony Gitter
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Bioinformatics
Subjects:
Unsupervised learning
Temporal alignment
Hierarchical clustering
Online Access:http://link.springer.com/article/10.1186/s12859-019-3324-1

Internet

http://link.springer.com/article/10.1186/s12859-019-3324-1

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