1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ML2017
Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Iscar +1
In this work a robust clustering algorithm for stationary time series is proposed. The algorithm is based on the use of estimated spectral densities, which are considered as functi…
stat.CO2017★ 1 cited
Robust clustering for functional data based on trimming and constraints
Diego Rivera-García, Luis Angel García-Escudero, Agustín Mayo-Iscar +1
Many clustering algorithms when the data are curves or functions have been recently proposed. However, the presence of contamination in the sample of curves can influence the perfo…