Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering ; volume:17 ; number:3 ; day:30 ; month:9 ; year:2018 ; pages:462-477 ; date:9.2018
Journal of Statistical Theory and Applications ; 17, Heft 3 (30.9.2018), 462-477, 9.2018

Classification: Wirtschaft

Creator: Kim, Doo Young
Tsokos, Chris P.

Contributor: SpringerLink (Online service)

DOI: 10.2991/jsta.2018.17.3.5

URN: urn:nbn:de:101:1-2024041010520785404767

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:51 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Kim, Doo Young
Tsokos, Chris P.
SpringerLink (Online service)

Other Objects (12)

Artikel

Clustering Macroeconomic Time Series

Preprint

Clustering Macroeconomic Time Series

Lag penalized weighted correlation for time series clustering

Clustering time series by extremal dependence

Time series clustering with random convolutional kernels

Clustering time series applied to energy markets

Robust DTW-based entropy fuzzy clustering of time series

Entropy-based fuzzy clustering of interval-valued time series

Tail-dependence clustering of time series with spatial constraints

Randomnet: clustering time series using untrained deep neural networks

Arbeitspapier

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Artikel

Clustering Macroeconomic Time Series

Preprint

Clustering Macroeconomic Time Series

Lag penalized weighted correlation for time series clustering

Clustering time series by extremal dependence

Time series clustering with random convolutional kernels

Clustering time series applied to energy markets

Robust DTW-based entropy fuzzy clustering of time series

Entropy-based fuzzy clustering of interval-valued time series

Tail-dependence clustering of time series with spatial constraints

Randomnet: clustering time series using untrained deep neural networks

Arbeitspapier

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Artikel

Clustering Macroeconomic Time Series

Preprint

Clustering Macroeconomic Time Series

Lag penalized weighted correlation for time series clustering

Clustering time series by extremal dependence

Time series clustering with random convolutional kernels

Clustering time series applied to energy markets

Robust DTW-based entropy fuzzy clustering of time series

Entropy-based fuzzy clustering of interval-valued time series

Tail-dependence clustering of time series with spatial constraints

Randomnet: clustering time series using untrained deep neural networks

Arbeitspapier

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Active and Dynamic Approaches for Clustering Time Dependent Information: Lag Target Time Series Clustering and Multi-Factor Time Series Clustering

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Clustering Macroeconomic Time Series

Clustering Macroeconomic Time Series

Lag penalized weighted correlation for time series clustering

Clustering time series by extremal dependence

Time series clustering with random convolutional kernels

Clustering time series applied to energy markets

Robust DTW-based entropy fuzzy clustering of time series

Entropy-based fuzzy clustering of interval-valued time series

Tail-dependence clustering of time series with spatial constraints

Randomnet: clustering time series using untrained deep neural networks

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering Macroeconomic Time Series

Clustering Macroeconomic Time Series

Lag penalized weighted correlation for time series clustering

Clustering time series by extremal dependence

Time series clustering with random convolutional kernels

Clustering time series applied to energy markets

Robust DTW-based entropy fuzzy clustering of time series

Entropy-based fuzzy clustering of interval-valued time series

Tail-dependence clustering of time series with spatial constraints

Randomnet: clustering time series using untrained deep neural networks

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering Macroeconomic Time Series

Clustering Macroeconomic Time Series

Lag penalized weighted correlation for time series clustering

Clustering time series by extremal dependence

Time series clustering with random convolutional kernels

Clustering time series applied to energy markets

Robust DTW-based entropy fuzzy clustering of time series

Entropy-based fuzzy clustering of interval-valued time series

Tail-dependence clustering of time series with spatial constraints

Randomnet: clustering time series using untrained deep neural networks

Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series

Related objects

Reset password