Raul Zurita-Milla
Biographic Data
| ID | 5001656 |
|---|---|
| NAME | Raul Zurita-Milla |
| GIVEN NAMES | Raul |
| FAMILY NAME | Zurita-Milla |
| SIGNATURE | ZURITA-MILLA R |
| AFFILIATIONS | University of Twente |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 0 |
Triclustering Georeferenced Time Series for Analyzing Patterns of Intra-Annual Variability in Temperature
Clustering is often used to explore patterns in georeferenced time series (GTS). Most clustering studies, however, only analyze GTS from one or two dimension(s) and are not capable of the simultaneous analysis of the data from three dimensions: spatial, temporal, and any third (e.g., attribute) dimension. Here we develop a novel clustering algorithm called the Bregman cuboid average triclustering algorithm with I-divergence (BCAT_I), which enable…
Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series
The GEONETCast data-dissemination system delivers free multi-source raw satellite images and processed products to users worldwide; from these data, users can construct long time series to study dynamic phenomena. To explore these dynamics, using an animation with few controls is common practice. But animations easily produce information overload leading to change blindness, a problem that can be addressed in various ways. We present a combinatio…
No prominent works on this page.
Development of an Open-Source Toolbox for the Analysis and Visualization of Remotely Sensed Time Series
The GEONETCast data-dissemination system delivers free multi-source raw satellite images and processed products to users worldwide; from these data, users can construct long time series to study dynamic phenomena. To explore these dynamics, using an animation with few controls is common practice. But animations easily produce information overload leading to change blindness, a problem that can be addressed in various ways. We present a combinatio…
Triclustering Georeferenced Time Series for Analyzing Patterns of Intra-Annual Variability in Temperature
Clustering is often used to explore patterns in georeferenced time series (GTS). Most clustering studies, however, only analyze GTS from one or two dimension(s) and are not capable of the simultaneous analysis of the data from three dimensions: spatial, temporal, and any third (e.g., attribute) dimension. Here we develop a novel clustering algorithm called the Bregman cuboid average triclustering algorithm with I-divergence (BCAT_I), which enable…
Computer Science (2 works) · Data mining (2 works) · Animation (1 works) · Cartography (1 works) · Cluster analysis (1 works) · Complex Systems and Time Series Analysis (1 works) · Computer graphics (images (1 works) · Construct (python library (1 works) · Data Management and Algorithms (1 works) · Data science (1 works)