AGRUPAMIENTO DE DATOS DE SERIES DE TIEMPO. ESTADO DEL ARTE [PDF]
Time series clustering has been an important research field in the last decade, providing useful and effective information in diverse domain. As outcome of the great existing interest for part of the scientific community of data mining area, innumerable ...
Castellanos, Gustavo Caceres +1 more
core
Clustering-based Behavioural Analysis of Biological Objects
The article examines the problem of processing short time series for bioinformatics tasks using data mining methods in the field of pharmacology. The experiments were conducted using heart contraction (contraction and relaxation) power data that were ...
Kiršners, Arnis
core
Parsimonious clustering of time series
Time series arise in many areas, including engineering, computer science, medical science, social science and economics. Clustering of time series has become an important topic, motivated by the increased interest in these type of data.
D'AMBROSIO, ANTONIO +3 more
core
Earthquake pattern analysis using subsequence time series clustering. [PDF]
Vijay RK, Nanda SJ.
europepmc +1 more source
Institution Publication Feature Analysis Based on Time-Series Clustering. [PDF]
Lin W, Jin M, Ou F, Wang Z, Wan X, Li H.
europepmc +1 more source
Time-Series Clustering of Single-Cell Trajectories in Collective Cell Migration. [PDF]
Xin Z +4 more
europepmc +1 more source
Temperature clusters in commercial buildings using k-means and time series clustering. [PDF]
Wickramasinghe A +3 more
europepmc +1 more source
Time series clustering of T cell subsets dissects heterogeneity in immune reconstitution and clinical outcomes among MUD-HCT patients receiving ATG or PTCy. [PDF]
Leserer S +10 more
europepmc +1 more source
Explaining the Varying Patterns of COVID-19 Deaths Across the United States: 2-Stage Time Series Clustering Framework. [PDF]
Megahed FM +3 more
europepmc +1 more source
Exploring dynamic change in arterial base excess with patient outcome and lactate clearance in the intensive care unit by hierarchical time-series clustering. [PDF]
Li D +5 more
europepmc +1 more source

