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Interpreting self-organizing maps through space--time data models
Bivariate spatial predictive process space–time models Markov chain Monte Carlo model choice vector autoregressive model
2010/3/17
Self-organizing maps (SOMs) are a technique that has been used
with high-dimensional data vectors to develop an archetypal set of
states (nodes) that span, in some sense, the high-dimensional space....