temperature_city.int: World Cities Monthly Temperature Interval Dataset
Description
Interval-valued monthly temperatures for major cities worldwide.
Benchmark dataset for comparing distance measures (Hausdorff, L2,
Wasserstein) in dynamic clustering algorithms.
Usage
data(temperature_city.int)
Arguments
Format
A data frame with city rows and 12 interval-valued monthly
temperature variables (Jan-Dec), plus an expert class assignment.
Details
Expert partition into 4 classes: Class 1 (tropical/warm), Class 2
(temperate European and Asian), Class 3 (Mauritius), Class 4 (Tehran).
References
Verde, R. and Irpino, A. (2008). A new interval data distance based on
the Wasserstein metric. Proc. COMPSTAT 2008, pp. 705-712.