Mixed Fuzzy Clustering for Misaligned Time Series

Data mining in medical databases often involves the comparison of time series, which represent the evolution of a physiological variable. Temporal misalignment of physiological variables can conceal the discovery of patterns and trends shared between different patients. To address this problem, this...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 25; H. 6; S. 1777 - 1794
Hauptverfasser:	Salgado, Catia M., Ferreira, Marta C., Vieira, Susana M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Classification Clustering Clustering algorithms Clusters Data mining Demographics Dynamic time warping (DTW) fuzzy clustering Heuristic algorithms intensive care unit (ICU) Invariants Machine learning Medical services misaligned time series Misalignment Partitioning algorithms Patients Physiology Time series Time series analysis
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!