Identifying patterns of climate variability from Principal Component Analysis – PCA, Fourier y k-means clustering
Context: Is achieved a research through Principal Component Analysis (PCA) for determining the variability and climate patterns of two important cities in the Colombia Caribbean. Method: This research used satellite data with three hourly resolution contained in a 35 year data set (1980 to 2014), a...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | Spanish |
| Published: |
Universidad Distrital Francisco Jose de Caldas
2017-02-01
|
| Series: | Tecnura |
| Subjects: | |
| Online Access: | http://revistas.udistrital.edu.co/ojs/index.php/Tecnura/article/view/11561 |