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- José Antonio Vilar, A. M. Alonso, Juan Manuel Vilar
- Computational Statistics & Data Analysis
- 2010
The problem of clustering time series is studied for a general class of non-parametric autoregressive models. The dissimilarity between two time series is based on comparing their full forecast… (More)
- Antonio Bode, M Graciela Estévez, Manuel Varela, José Antonio Vilar
- Marine environmental research
- 2015
Phytoplankton is a sentinel of marine ecosystem change. Composed by many species with different life-history strategies, it rapidly responds to environment changes. An analysis of the abundance of 54… (More)
- Borja R. Lafuente-Rego, José Antonio Vilar
- Adv. Data Analysis and Classification
- 2016
Time series clustering is an active research topic with applications in many fields. Unlike conventional clustering on multivariate data, time series often change over time so that the similarity… (More)
- José Antonio Vilar, Borja R. Lafuente-Rego, Pierpaolo D'Urso
- Fuzzy Sets and Systems
- 2018
- José Antonio Vilar, Pierre-François Marteau
- Lecture Notes in Computer Science
- 2015
The choice of an appropriate representation remains crucial for mining time series, particularly to reach a good trade-off between the dimensionality reduction and the stored information. Symbolic… (More)
- N. Dibben, Eduardo Coutinho, José Antonio Vilar, Graciela Estévez-Pérez
- Front. Behav. Neurosci.
- 2018
Comparison of emotion perception in music and prosody has the potential to contribute to an understanding of their speculated shared evolutionary origin. Previous research suggests shared sensitivity… (More)
Many operations carried out by official statistical institutes use large-scale surveys obtained by stratified random sampling without replacement. Variables commonly examined in this type of surveys… (More)
- Borja R. Lafuente-Rego, José Antonio Vilar
- AALTD@PKDD/ECML
- 2015
Unlike conventional clustering, fuzzy cluster analysis allows data elements to belong to more than one cluster by assigning membership degrees of each data to clusters. This work proposes a fuzzy C–… (More)