CIOP   05384
CENTRO DE INVESTIGACIONES OPTICAS
Unidad Ejecutora - UE
artículos
Título:
ANALYSIS OF THE HOMOGENEITY OF WIND ROSES' GROUPS EMPLOYING ANDREWS?
Autor/es:
G. RATTO, F. VIDELA AND J. REYNA ALMANDOS
Revista:
Atmospheric and Climate Sciences
Editorial:
Scientific Research
Referencias:
Año: 2014 vol. 4 p. 447 - 456
ISSN:
2160-0414
Resumen:
The homogeneity of groups of 16-dimensional wind direction roses (obtained by hierarchical
clustering in a previous report) is discussed through the application of Andrews? Curves. Principal
Component Analysis (PCA) is employed to reduce dimensionality and to provide an ordering of the
variables to compute Andrews? Curves. Our results suggest that Andrews? Curves greatly facilitate
the visualization of homogeneity as well as reveal information that allows improving the clusters?
arrangement. A combined analysis employing Andrews? Curves and Calinkski and Harabasz? approach
(a method for determining the optimal number of groups) helps to assess the strength of
the group structure of the data as well as to detect anomalies such as misclassified objects or
atypical values. Furthermore, it allows finding out that the 24 original seasonal hourly roses
(representing the ?day?) become better represented by 6 groups (rather than by 5 as proposed in
the previous report). The new group arrangement was consistent with the dendogram for another
cut-off distance. As a result the wind occurrences are now represented by a more detailed and
smooth pattern: there is a decrease in northern wind between midday and twilight while eastern
winds become more important towards the evening. The methodology proposed is a subject to be
considered to become part of an automated system.