Advances in clustering and visualization of time series using GTM through time
- Author
- OLIER, Ivan1 ; VELLIDO, Alfredo1
[1] Department of Computing Languages and Systems (LS1), Polytechnic University of Catalonia (UPC), C/.Jordi Girona, 1-3, 08034, Barcelona, Spain - Source
Neural networks. 2008, Vol 21, Num 7, pp 904-913, 10 p ; ref : 3/4 p
- ISSN
- 0893-6080
- Scientific domain
- Electronics; Computer science; Neurology
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Change point detection Clustering Generative topographic mapping Multivariate time series Unsupervised relevance determination Visualization
- Keyword (fr)
- Analyse amas Analyse n dimensionnelle Apprentissage non supervisé Approche probabiliste Classification automatique Classification non supervisée Classification signal Détection changement Evolution Identification Mappage Modélisation Pertinence Point changement Prévision Série temporelle Théorie Visualisation
- Keyword (en)
- Cluster analysis Multidimensional analysis Unsupervised learning Probabilistic approach Automatic classification Unsupervised classification Signal classification Change detection Evolution Identification Mapping Modeling Relevance Change point Forecasting Time series Theory Visualization
- Keyword (es)
- Analisis cluster Análisis n dimensional Enfoque probabilista Clasificación automática Clasificación no supervisada Detección cambio Evolución Identificación Carta de datos Modelización Pertinencia Punto cambio Previsión Serie temporal Teoría Visualización
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20755183
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.neunet.2008.05.013 
https://dx.doi.org/10.1016/j.neunet.2008.05.013
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