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Agrupamiento de series de tiempo con RAIN-Algorithm
2016 IEEE Biennial Congress of Argentina (ARGENCON), 2016There are different algorithms of static data grouping proposed by scientific community. Nevertheless, because of the massive generation of time series data, the algorithms must be adapted to be applied to this kind of data. One of the algorithms that have a better performance than K-means and fuzzy K-means is the one of gravitational clustering, based
Gustavo Cáceres-Castellanos +2 more
openaire +1 more source
Back to the Eighties: Nostalgia and the “Transition Culture” in El ministerio del tiempo
Hispanic Research Journal, 2020Concepción Cascajosa
exaly
Reliability of Absolute and Relative Predictions of Population Persistence Based on Time Series
Conservation Biology, 2004John A. Vucetich, Thomas A Waite
exaly

