Advances in clustering and visualization of time series using GTM through time
作者： Iván Olier , Alfredo Vellido
DOI: 10.1016/J.NEUNET.2008.05.013
关键词: Multidimensional analysis 、 Machine learning 、 Change detection 、 Unsupervised learning 、 Multivariate statistics 、 Computer science 、 Relevance (information retrieval) 、 Interpretability 、 Visualization 、 Cluster analysis 、 Series (mathematics) 、 Artificial intelligence 、 Cognitive neuroscience
摘要: … Note that in this study we are dealing with multivariate time series but, equally, clustering would be meaningful only if the distribution of two multivariate time series over the latent space …
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