Clustering life trajectories : a new divisive hierarchical clustering algorithm for discrete-valued discrete time series
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
ZEW Discussion Papers ; 11-015
- Klassifikation
-
Mathematik
- Schlagwort
-
Clusteranalyse
Qualitatives Verfahren
Zeitreihenanalyse
Lebensverlauf
Theorie
Schätzung
Gesetzliche Rentenversicherung
Deutschland
Cluster-Analyse ; Streuungsmaß ; Lebenslauf ; Rentenversicherung ; Deutschland
Cluster-Analyse
Qualitative Methode
Exponential smoothing
Zeitreihenanalyse
Lebenslauf
Schätzung
Rentenversicherung
Deutschland
- Ereignis
-
Veröffentlichung
- (wo)
-
Mannheim
- (wer)
-
Universitätsbibliothek Mannheim
- (wann)
-
2011
- Urheber
- URN
-
urn:nbn:de:bsz:180-madoc-31434
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:47 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Dlugosz, Stephan
- Universitätsbibliothek Mannheim
Entstanden
- 2011
Ähnliche Objekte (12)
Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series
Hierarchical subspace clustering
Clustering partition models for discrete structures with applications in geographical epidemiology
Clustering partition models for discrete structures with applications in geographical epidemiology
Tangles and Single Linkage Hierarchical Clustering
Diversity-driven Widening of Hierarchical Agglomerative Clustering
Large scale hierarchical clustering of protein sequences
Statistical Inference for Discrete-Valued Stochastic Processes
Statistical inference for discrete-valued stochastic processes
A new quartet tree heuristic for hierarchical clustering
Persistent Homology (and Hierarchical Clustering) of Asymmetric Networks
Learning and Clustering Plan Abstractions to Improve Hierarchical Planning
Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series
Hierarchical subspace clustering
Clustering partition models for discrete structures with applications in geographical epidemiology
Clustering partition models for discrete structures with applications in geographical epidemiology
Tangles and Single Linkage Hierarchical Clustering
Diversity-driven Widening of Hierarchical Agglomerative Clustering
Large scale hierarchical clustering of protein sequences
Statistical Inference for Discrete-Valued Stochastic Processes
Statistical inference for discrete-valued stochastic processes
A new quartet tree heuristic for hierarchical clustering
Persistent Homology (and Hierarchical Clustering) of Asymmetric Networks
Learning and Clustering Plan Abstractions to Improve Hierarchical Planning
Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series
Hierarchical subspace clustering
Clustering partition models for discrete structures with applications in geographical epidemiology
Clustering partition models for discrete structures with applications in geographical epidemiology
Tangles and Single Linkage Hierarchical Clustering
Diversity-driven Widening of Hierarchical Agglomerative Clustering
Large scale hierarchical clustering of protein sequences
Statistical Inference for Discrete-Valued Stochastic Processes
Statistical inference for discrete-valued stochastic processes
A new quartet tree heuristic for hierarchical clustering
Persistent Homology (and Hierarchical Clustering) of Asymmetric Networks