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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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