TY  - JOUR 
AU  - Arroyo Puente, Ángel
AU  - Tricio, Verónica
AU  - Corchado Rodríguez, Emilio Santiago
AU  - Herrero Cosío, Álvaro
PY  - 2015
SN  - 978-3-319-19718-0(Print) / 978-3-319-19719-7(Online)
SN  - 2194-5357(Print) / 2194-5365(Online)
UR  - http://dx.doi.org/10.1007/978-3-319-19719-7_11
UR  - http://hdl.handle.net/10366/135047
AB  - Present work proposes the application of several clustering techniques (k-means, SOM k-means, k-medoids, and agglomerative hierarchical) to analyze the climatological conditions in different places. To do so, real-life data from data acquisition...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - A Comparison of Clustering Techniques for Meteorological Analysis
ER  -