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TS-stream: clustering time series on data streams
(SpringerDordrecht, 2014-06)
The current ability to produce massive amounts of data and the impossibility in storing it motivated the development of data stream mining strategies. Despite the proposal of many techniques, this research area still lacks ...
Time-series clustering via quasi U-statistics
(Wiley-blackwellHobokenEUA, 2012)
Regional Labor Dynamics and their Relevance in the National Aggregate: A Time Series Clustering Application for Chile
(ASOC ECONOMIA APLICADAD, 2018)
Using independent component for clustering of time series data
(Elsevier, 2020)
Persistent homology for time series and spatial data clustering
(Pergamon/ElsevierOxford, 2015-09)
Topology is the branch of mathematics that studies how objects relate to one another for their qualitative structural properties, such as connectivity and shape. In this paper, we present an approach for data clustering ...
Clustering subsecuencial de series de tiempo: Evidencia de patrones temporales en el tipo de cambio UsdMxn
(Centro de Investigación en Matemáticas, AC (CIMAT), 2020-11-02)
Clustering subsecuencial de series de tiempo: Evidencia de patrones temporales en el tipo de cambio UsdMxn
(Centro de Investigación en Matemáticas, AC (CIMAT), 2020-11-02)